Back to all jobs
Amazon Web Services (AWS) logo
Amazon Web Services (AWS)·Seattle, United States·onsite

Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

$151,200 - $235,200 Posted 13 days ago
Apply on company site
Ruby optionalBackend

About the role

What you'll do

  • Lead design and development of next-generation AWS platforms for AI/ML and HPC workloads.
  • Own and proactively improve server system reliability, testability, and diagnosis using hardware and software expertise.
  • Collaborate with cross-functional teams including SDEs, hardware engineers, TPMs, and managers across multiple locations.
  • Drive high-quality, scalable, and performant software solutions impacting AWS cloud infrastructure and customer experience.
  • Work onsite in Seattle as part of a fast-paced, growing, and innovative hardware engineering team focused on AI/ML servers.

What you should know

  • Ideal candidates are innovative self-starters with deep understanding of hardware-software integration at cloud scale.
  • The role requires strong systems debugging and architectural design skills in complex server environments.
  • Applicants should be comfortable working in a collaborative, multi-disciplinary team with global stakeholders.
  • This position offers ownership and direct impact on AWS cloud infrastructure and customer-facing products.
  • Candidates with diverse experiences and non-traditional career paths are encouraged to apply.

About the company

  • Amazon Web Services (AWS) is the world’s leading cloud platform, trusted by startups and Global 500 companies.
  • AWS values an inclusive culture with employee-led affinity groups and ongoing diversity and learning initiatives.
  • The company emphasizes work-life harmony and offers flexible working arrangements and comprehensive benefits.
  • AWS is a large-scale, innovative technology leader pioneering cloud computing with continuous product releases.
  • Amazon fosters mentorship and career growth with extensive knowledge-sharing and professional development resources.

Key required skills

C++PythonLinuxSystems designHardware-software integration

Summary generated from the original posting.