Annapurna Labs (U.S.) Inc.

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the ML Applications - Framework team, you will be responsible for leading a strong team of engineers to help design and deploy ML applications/usecases on various frameworks such as Pytorch, JAX, Tensorflow. You will be responsible for the full development life cycle of our integrations and extensions for inference and training support in Pytorch, XLA, Tensorflow and JAX. Develop reliability/scalability features and performance updates in the Neuron ML Frameworks as well as contribute to other popular open Frameworks to enable them make Trainium and Inferentia devices as the first-class citizens for ML Acceleration. Lead the way to ensure support for key ML functionality in a combined chip / software platform. Ensure the right thing is being built and delivered to customersA successful candidate will have an established background in developing ML frameworks using Pytorch on XLA devices and corresponding framework technology components such as Torch-XLA, Open-XLA project integrations using PJRT or StableHLO, familarity of OpenXLA compilers. The ideal candidate should have a strong technical ability to work/deliver on a vertically integrated system stack that consists of a combinatorial matrix of hardware, frameworks, and workflows. Deep expertise in Framework integrations and development using C++ is a must along-with direct customer-facing experience and a strong motivation to achieve results. A day in the lifeYou will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.About the teamAbout AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience partnering with product or program management teams ...

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Annapurna Labs, is looking for a Q&R Engineer.As an IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include establishing Design-for-Quality and Reliability (DFQR) during product design, developing reliability validation (RV) plans and DOEs, conducting product qualification and RV, performing failure analysis (FA), and executing reliability modeling, analysis, and reporting.In this role you will be completely exposed to the semi-conductor production flow of all Annapurna Labs products, semi-conductor testing methodologies and FAB process yield improvement activity.Key job responsibilities1) Lead DFQR and DFT activities and conduct risk assessment during the product design stage.2) Develop and execute product Q&R qualification plans, including HTOL, LU and ESD.3) Drive manufacturing vendors for the quality control and improvement, and to dispose the non-conforming materials due to manufacturing excursions. 4) Work closely with the product and test teams for the FT test improvement5) Drive device RMA process, FA, disposition, reporting and improvement.A day in the lifeWork closely with the vendors, internal design, hard ware and testing teams and the external labs to identify and close the quality and reliability gaps of our products. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS1) B.Sc. or M.Sc. degree in electrical engineering, applied physics or related fields.2) Hands on working experience on the HTOL die qualification, including the BIB design, test condition setups and pattern generation, failure disposition etc. 3) 5+ years of working experience on Si device quality and reliability.4) Knowledge and experience in the Q&R fundamentals, data analysis and statistics fundamentals, Si device failure modes, VLSI IC design, Fab/assembly manufacturing, RMA, wafer and device testing and failure analysis. ...

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.The validation team is at the forefront of the hardware lifecycle and supports the project at every step, from emulation, through initial bringup and validation, and even integration of customer feedback into tools and workloads. We are looking for a Software Development Engineer II to join the validation team and ensure our newest hardware will delight customers!Key job responsibilitiesKey job responsibilities- Develop chip-level and system-level validation plans focused on customer needs- Develop workloads and tools to enable validation, tested using emulation environments- Execute validation plans, debug failures, and communicate with key project stakeholders- Enable other teams to use workloads and tools for other parts of the projects such as characterization.- Teach and share debug strategies with the larger teamAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers .Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS - BS Degree or Higher in EE or CS or CE.- 3+ years of design verification experience using System Verilog and UVM- 3+ years of experience in testbench development including: stimulus, checkers, assertions and coverage ...

Custom silicon chips live at the heart of AWS machine learning servers (Trainium and Inferentia), and our team builds the backend software that manages these servers. We’re looking for someone to lead our system-on-chip hardware abstraction layer (SoC HAL) software team. You'll help us deliver at scale, as we build the next generations of SoC software. This is a hands-on, in-the-trenches software engineering leadership position. As the team lead for SoC HAL SW, you will: - Lead (both technically and as a people-manager) a small, strong team of 3-5 developers- Work with hardware designers to build HALs for newly developed SoC IPs- Work with system software teams to solve SoC and system-level architectural issues, drive debug, architect the HAL itself, and innovate on cross-functional solutions- Continuously test and deploy your software stack to multiple internal customers- Refactor and maintain existing codebases throughout the device lifecycle- Innovate on the tooling you provide to customers, making it easier for them to use and debug our SoCs AWS's Annapurna Labs designs and deploys some of the largest custom silicon in the world, with many subsystems that all must be managed, tested, and monitored. The SoC HAL is a critical piece of the AWS infrastructure management software stack that ensures the chip is functional, performant, and secure. You will thrive in this role if you: - Enjoy building, managing, and leading small teams, or are looking to grow in this area- Enjoy coaching and mentoring teammates both technically and on interpersonal topics- Are proficient in C++ and familiar with Python- Enjoy working with hardware-based systems, and diving into chip and system architecture- Love solving complex system-level issues- Know how to build effective abstractions over low-level SoC details- Have strong opinions about software architecture, and are able to apply them effectively- Are familiar with modular driver architectures (such as the Linux or Windows driver stacks)- Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small, startup-like team within a large organization Although we build and deploy ML chips, no ML background is needed for this role. Your team (and your software) won’t be doing ML. Our driver stack lives at the lowest level of the backend AWS infrastructure responsible for managing our ML servers. You and your team will develop HALs for components used by machine learning, like PCIe and HBM, but won’t need to deeply understand ML yourselves. This role can be based in either Cupertino, CA or Austin, TX. The team is split between the two sites, with no preference for one over the other. This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your software, as well as our products' overall performance, quality, and cost. We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning!A day in the lifeA few videos help explain what the Annapurna Labs ML team is working on:- https://youtu.be/4nfkonjjICo?si=nKhM1Wv4108mnIOa- https://youtu.be/n38WDflRbjQ?si=SZEV5i_5du1jKYP-About the teamAWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 6+ years of non-internship professional software development experience- 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production- C++ development experience- Experience developing low-level software for hardware (SoC, ASIC, GPU, CPU, etc.) ...

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.The AWS Cloud Storage offers a complete range of hardware and software for customers to store, access, govern, and analyze their data, reducing costs, increasing agility, and accelerating innovation.AWS Cloud Storage team is hiring firmware engineers with a background in NVMe memory devices to solve our customers toughest problems.As a firmware engineer on the AWS Cloud Storage team, you will be a thought leader at the forefront of consumer storage and networking solutions. You should feel equally comfortable in server and embedded environments, possess a deep understanding of computer architecture, Linux OS, and programming sophisticated embedded devices.Every day you will be working alongside brilliant engineers and leaders who obsess about performance, availability, scalability and durability of customer data, with the ambitious goal of improving AWS' industry-leading product.Key job responsibilities- Research, design, implement Firmware to support NVMe subsystem, DMA and Crypto through specialized HW units in Nitro Cards.- Debug complex, system-level, multi-component issues across multiple layers from kernel to application- Profile system performance activity and drive optimizations across our software stack- Deliver production-quality code and support its operation in the production environmentAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Experience as a mentor, tech lead or leading an engineering team- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- 5+ years of experience with programming language: C or C++- 5+ years of experience in embedded Linux systems or NVMe Subsystem ...

Amazon Web Services provides a reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.We are seeking a SI/PI Engineer (Signal Integrity and Power Integrity) who will play a key role in the definition, design and validation of AWS next generation machine learning ASICs. As a member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.About Us Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Key job responsibilitiesOur engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the lifeAs you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.BASIC QUALIFICATIONS - B.S. in EE - 2+ years of experience using time domain and frequency domain tools: Hspice, Sigrity, HFSS, or Microwave Studio - 2+ years of experience with PCB, Package, interposers (COWOS) and Silicon Technologies - 2 + years of experience in Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. ...

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates who will help us continuously innovate as we redefine server management at EC2 scale.We design hardware and software for a variety of server management controllers. We do bring up, debug live systems, and write systems software which is leveraged at all phases of the server life-cycle; from manufacturing to fleet deployment.Our team implements operating system changes, server control, and management applications. Custom software for everything from complex embedded systems to automated test and deployment frameworks.Interested in how you be can a part of the team responsible for the creation of the most advanced hardware platforms in EC2? Come find out.Key job responsibilities- Member of a team responsible for the management software associated with server components for all phases of the server's life-cycle.- Working with the MLA Hardware and Test teams to create a coordinated software package to enable both qualification as well as rapid deployment of server software.- Developing software which can be maintained, improved upon, documented, tested, and reused.A day in the lifeThe MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation.The team is focused on our organization's ability to scale. Automation, software best practices, and good architectural abstractions are key to this endeavor.You will have the opportunity to develop software in a highly cross-functional environment, working side by side with software and hardware teams to optimize customer experience. You will be responsible for building scalable software systems that can be tested throughout the stages of product development including manufacturing and production. You will leverage automation, continuous integration, and fleet metrics to deploy and monitor your changes.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience as a mentor, tech lead or leading an engineering team ...

At AWS AI our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is an SDK that optimizes the performance of complex neural net models executed on AWS Inferentia, our first fully custom chip designed to accelerate deep-learning workloads. The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring senior Runtime Software Development Engineers with a background in machine learning and AI accelerators in order to solve our customers toughest problems. As a Runtime Software Development Engineer you will have experience with high-performance Linux drivers, HPC technologies including: libfabric, MPI, and delivering products to customers with a high degree of operational excellence.This is a fast-paced, intellectually challenging position, where you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About the team*Utility Computing (UC)* AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.**Why AWS**Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.**Diverse Experiences**Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* *We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. **Inclusive Team Culture* *Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.**Mentorship and Career Growth**We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience as a mentor, tech lead or leading an engineering team ...

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Physical Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilities- Work with RTL/logic designers to drive architectural feasibility studies, explore power-performance-area tradeoffs for physical design closure- Drive IO/Core block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off- Develop physical design methodologies- Evaluate 3rd party IP and provide recommendations- Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teamsA day in the lifeAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- BS + 4yrs or MS + 3yrs in EE/CS- 4+ years of experience in ASIC Physical Design from - RTL-to-GDSII in either 7nm, 14/16nm, 20nm, or 28nm- Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO- Deep understanding on sign-off activities (timing, ir/em, physical verification)- Scripting experience with Tcl, Perl or Python ...

By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the Canada and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.The Annapurna team hires for multiple disciplines Software and Hardware engineers including but not limited to compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs, SDE in Test. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related field- To qualify, applicants should have earned a Bachelor’s or Master’s degree between May 2023 to September 2025. Possible start dates for this role are between January 2025 to October 2025.- Programming experience in internship or coursework with programming language such as Python and/or C or C++.Candidates with strong interests and academic qualifications/research focus in two of the following:- Distributed systems, algorithms (MPI, NCCL, or similar)- Operating System - Linux system programming/services- Computer architecture- System Development- Complexity analysis ...

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities• Develop, implement and verify state-of-the-art Design for Test (DFT) architectures• Work with block designers to integrate DFT implementations• Work with physical design team to setup and implement DFT insertion flow• Develop high coverage and cost effective DFT methodologies• Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data• Communicate and work with team members across multiple disciplinesA day in the lifeAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- BS degree in EE, CE, or CS- 3+ years of practical DFT experience with large processor and/or SoC designs- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time- Experience with automation script development ...

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level. - Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.- Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization. - Scripting skills to automate tests, logs parsing and data collection. - Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization. ...

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilitiesAs an ASIC Design Engineer, you will:• Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets• Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements• Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints• Execute lint and clock domain crossing quality checks to ensure design integrity• Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end expertsThe ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable.You will thrive in this role if you:- Have a "Learn and Be Curious" mindset- Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures- Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patentsAbout the teamInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.We are open to hiring candidates to work out of one of the following locations:Cupertino, CA, USA | Austin, TX, USABASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience ...

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and JAX. AWS Neuron along with the Inferentia/Trainium chips are used at scale with customers and partners both internal and external to Amazon.The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture.AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Key job responsibilitiesYou: We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join our Deep Learning Compiler Team. As a Manager III you be building and leading a team of talented compiler engineers developing graph level optimizations to map SOTA deep learning models efficiently to our accelerator capabilities. You’ll leverage your technical skills to collaborate with ML applications teams and applied scientists developing the models to accelerate research ideas and techniques to bring them to production to faster serve our customers to their performance goals. You will partner with Pytorch, OpenXLA and other open source communities to leverage the work in both directions for the benefit of the machine learning community. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience partnering with product or program management teams ...

Annapurna Labs builds high-performance hardware and software solutions used in AWS data centers globally. We’re looking for a software development manager with a focus on runtime development of Neuron SDK. As a Software Development Manager for the Neuron Runtime team you will be responsible for leading a strong and excellent team of engineers in design, development, test, and deployment of this Neuron runtime software, including drivers, tools and testing of future and past ML platforms (Pre/Post Silicone). A successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, excellent project skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You will be helping to hire and build your team and systems.Key job responsibilities- Responsible for the over-all systems development life cycle for our existing and future ML platforms.- Management and execution against project plans and delivery commitments - Manage the day-to-day activities of the engineering team within an Agile/Scrum environment - Management of departmental resources, staffing, mentoring, enhancement, and maintaining a best-of-class engineering team - Report on status of development, quality, operations, and system performance to management- Work closely with across different teams such as HW Design, HW verification, ML Software teams and make decisions to bring the next ML platforms to AWS.About the team*Utility Computing (UC)* AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.**Why AWS**Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.**Diverse Experiences**Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* *We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. **Inclusive Team Culture* *Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.**Mentorship and Career Growth**We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration.As a member of the Cloud-Scale Machine Learning Acceleration team, you will be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference product designed to deliver high performance at low cost.If you are interested in ""building a complete product"" from inception to delighted customers, Annapurna is a fantastic choice.If this sounds exciting to you - come build the future with us!Key job responsibilities• Be part of hardware design team for acceleration cards, servers, and electrical validation for silicon• Work on schematic design for new acceleration cards• Be involved with AWS Servers testing• Participate in modeling and simulation of interconnectsAbout the teamMentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life HarmonyOur team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.BASIC QUALIFICATIONS- Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2025 and September 2026- Academic, internship, or professional experience with schematic design and layout review of PCBs- Academic, internship, or professional experience with x86 system design and microcontroller programming- Familiarity with oscilloscope and multimeters ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing through Machine Learning acceleration and FPGA acceleration. If you are interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.If this sounds exciting to you - come build the future with us!Responsibilities: • Develop a deep understanding of end customer requirements including software applications, use models, system architecture and SoC architecture/micro-architecture solutions.• Participate in logic design activities as part of Amazon's machine learning custom silicon solutions. • Develop and execute design automation mechanisms and flows.• Work with physical design teams to achieve performance and area requirements.Mentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life HarmonyOur team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.BASIC QUALIFICATIONS- Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2025 and September 2026- Programming experience in System Verilog or UVM ...

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Annapurna Labs part of AWS is seeking highly experienced Hardware Test Engineers, System Test Engineers, Manufacturing Test Engineers, and System Validation Engineers to enable high quality and efficient testing for the next generation of our cloud server platforms. Our success depends on our world-class infrastructure as we are handling massive scale and rapid integration of emergent technologies. As a member of the Machine Learning Acceleration team you will be responsible for the enablement and improvement of our system level manufacturing environment.You will work on developing tests that ensure functionality and capability of our custom hardware used in the AWS server fleet. You will develop expertise in the top-to-bottom functionality of the entire system as well as the intended customer applications and stress the system from a customer perspective. You will work together with other engineering teams to develop, maintain, and improve manufacturing test code for new and existing products. You’ll work with both high-level and low-level operating system constructs to create first-boot images for products in manufacturing. You will develop and maintain the deployment and distribution system to ensure that our manufacturing partners have access to appropriate versions of our software as soon as it’s available. You will respond to new issues raised by our manufacturing partners, analyze logs and failures, and then develop and deploy solutions to those issues. You will develop documentation as well as testing and debug procedures for our manufacturing partners to follow. Key job responsibilities- Enable and maintain mass volume production testing, working with our ODMs and JDMs to verify stable high-quality execution- Drive ODM and JDM deliveries to ensure production manufacturing quality- Identify and develop tests needed to enhance coverage and increase failure granularity.- Debug test hardware and software used for system level and server level mass production- Develop manufacturing tests to exercise hw components and collect data for large scale analysisAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelor's degree in Electrical Engineering or Computer Engineering- 4 + years of experience developing embedded systems code and hardware interfaces (I2C, UART, SPI, JTAG, PCIe, etc.)- Experience with Python, BASH or other scripting language- Experience analyzing yield and bin pareto- Experience working with system management components (BMC, BIOS, CPLD, etc)- Experience with debugging and root cause investigations using hardware schematics and tools such as logic analyzers- Strong background working in UNIX environments ...

At AWS AI our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It’s also preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms (such as encryption, TCP offload, storage accelerators and router/switch platforms) and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator.This is a fast-paced, intellectually challenging position, where you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About the team**Why AWS**Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.**Utility Computing (UC)**Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.**Diverse Experiences**Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* *We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. **Inclusive Team Culture* *Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.**Mentorship and Career Growth**We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...