What you'll do
- Lead design and development of next-generation AWS platforms for AI/ML and HPC workloads with a focus on server hardware and software integration.
- Own and proactively improve system reliability, testability, and diagnosis through tactical coding and architectural problem-solving.
- Collaborate cross-functionally with engineers, TPMs, and managers across multiple AWS teams and locations to deliver high-quality, scalable server solutions.
- Drive continuous price-performance improvements for AI model training infrastructure supporting large language models and cloud-scale services.
- Operate within a fast-paced, growing team with ownership of implementation and direct impact on AWS product improvements and customer outcomes.
What you should know
- This role requires a deep understanding of full technical stack from bare-metal hardware to userland software.
- Candidates should be comfortable working in a complex, multi-disciplinary environment involving hardware, software, and systems engineering.
- The position offers significant ownership and impact on AWS’s AI infrastructure and bottom line.
- Applicants should expect to work onsite in Seattle and collaborate with global teams across multiple locations.
- AWS encourages applicants from diverse and non-traditional backgrounds and supports accommodations throughout the hiring process.
About the company
- Amazon Web Services (AWS) is the world’s leading cloud platform, pioneering innovation in cloud computing with a broad product suite.
- AWS Hardware Engineering focuses on frugal, operationally excellent server designs critical to AWS’s global infrastructure success.
- The company values inclusion and diversity, supporting employee-led affinity groups and ongoing cultural learning initiatives.
- AWS emphasizes work-life harmony and flexibility to support employee well-being and productivity.
- Amazon is a large, global enterprise with a strong commitment to mentorship, career growth, and continuous performance improvement.
Key required skills
Systems engineering fundamentals including networking, storage, and operating systemsProficiency in at least one modern programming language such as C++, Python, Java, or GolangExperience in designing and architecting scalable, reliable systemsStrong debugging and diagnostic skills across hardware and software componentsFamiliarity with Agile/Scrum methodologies and collaborative development environments