Portland

AWS Elemental is the leading supplier of software-defined video solutions for multiscreen content delivery and we are looking for a Technical Support Engineer to join our Global Technical Support Team.In this role, you will own customer issues throughout their complete lifecycle while providing knowledgeable and responsive technical support for our enterprise customers. Our customers include small and large enterprise customers and includes on-premises, and cloud based workflows. You will be responsible for issue investigation, identifying software defects, in-depth and complex repro cases across multiple products and services, workarounds and researching innovative or unfamiliar technologies. This is a complex, fast-paced, and high-throughput environment where frequent context shifting and multi-tasking is required. As an engineer on the team, there are additional expectations of leadership and expertise in multiple disciplines.Key job responsibilitiesIn this role, you will:Track, investigate, and resolve customer questions and issues by phone and email at various levels of complexity and customer impact.Act as an escalation point for the most complex and in-depth issues that potentially span multiple external and internal organizations while working independentlyCommunicate directly with internal organizations to complete root cause analyses, issue investigation, workarounds and defect resolutionDevelop and implement the most complex repro cases to identify potential software defects, misconfigurations or issues in customer environmentsUse case management tools to manage and prioritize issues based on multiple factors including customer impactAct as a role model to other support engineers, leading discussions, proactively solving issues and identifying and removing blockers for the entire teamDevelop training material and documentation for both internal and customer-facing user community portalsDeliver field support services to customers, including product troubleshooting, as well as basic implementation and ad hoc training servicesParticipate in 24x7 on-call rotation for post-sale customer supportAbout the teamAbout AWSDiverse ExperiencesAWS 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. 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.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 (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. 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. BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent, or 3+ years of professional or military experience- 3+ years of experience working in enterprise-level technical/customer support- 3+ years of experience with Linux operating systems, particularly with networking and system administration- 3+ years of experience with LAN configuration, Internet protocols, server applications and related troubleshooting tools ...

The Automated Reasoning Group is looking for a Principal Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.
You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.
Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/
As a Principal, Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:
* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies* Apply software engineering best practices to ensure a high standard of quality for all team deliverables
* Work in an agile, startup-like development environment, where you are always working on the most important stuff
* Deliver high-quality scientific artifacts
* Work with the team to lower the barrier of adoption for automated reasoning tools* Work with the team to help drive business decisions
Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.
Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.
Key job responsibilitiesLead the design and implement scalable systems for formal reasoning.Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.
Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.
Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.
About the teamThe AWS Automated Reasoning Group is a talented group of scientists from around the world. Their areas of expertise include interactive theorem proving, generative AI, SAT/SMT solvers, and programming language theory.BASIC QUALIFICATIONS- Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- At least 7 years of industrial/academic experience in interactive theorem proving and/or automated reasoning
- At least 7 years of experience with programming languages such as Rust, Python, C/C++ and open-source technologies and open-source technologies
- At least 7 years of experience in design and analysis of algorithms and data structures ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS Elemental is an Amazon Web Services company that combines deep video expertise with the power and scale of the cloud. We are looking for a Senior Applied Scientist focused on video compression and filtering to build advanced video processing functions.As an Applied Scientist, you will research and develop methods to improve our compression efficiency, video filters, and enabling new use cases for our customers. You’ll work on cutting edge compression technologies like AV1, HEVC, and high dynamic range video. You'll bring to production new broadcast grade AI based filters not possible before. You'll use AI to enable new applications for some of the largest media providers. You will work on a focused team with clear leadership and a direct ability to solve our customers’ problems and enable their success. Your work will have a broad reach. Your designs will process thousands of video streams around the world, and the final output will be enjoyed by millions of viewers.Key job responsibilities- Improving the quality per bit in our home-grown video encoders, utilizing traditional and AI techniques.- Design improved video filters, whether this be a scaler, deinterlacer, or a brand new perceptual filter.- Enable new workflows for our customers, allowing them to extract information from their contentAbout the teamWe are the Elemental Video Engine team, responsible for everything that happens to a pixel in the AWS media services MediaLive and MediaConvert, as well as AWS Elemental appliances. These services and appliances are trusted by some of the biggest names in the industry to reliably deliver the best video quality per bit.We are an experienced team, currently distributed between Portland, Oregon; Vancouver, British Columbia; and San Jose, California. We are doers: we focus on solving customer problems by dreaming up new ideas and seeing them through to production.*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 building machine learning models for business application experience- PhD, or Master's degree and 3+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with computer vision ...