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Amazon Web Services (AWS)·Austin, United States·onsite

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

$151,200 - $235,200 Posted 15 days ago
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Ruby optionalBackend

About the role

What you'll do

  • Lead design and development of next-generation AWS platforms for AI/ML and HPC workloads at cloud scale.
  • Own and proactively improve server system reliability, testability, and diagnostics using hardware and software expertise.
  • Collaborate cross-functionally with SDEs, hardware engineers, TPMs, and managers across multiple AWS teams globally.
  • Drive complex architectural problem solving and deliver scalable, performant software solutions in production.
  • Operate in a fast-paced, innovative environment with ownership of implementation and direct impact on AWS products.

What you should know

  • Ideal candidates are innovative self-starters with deep knowledge across hardware, software, and system layers.
  • The role demands strong systems debugging skills and ability to develop tactical solutions before customer impact.
  • Applicants should be comfortable working in a highly collaborative, fast-paced, and technically challenging environment.
  • This position offers ownership and visibility into impactful projects shaping the future of cloud AI infrastructure.
  • Candidates should expect to engage with complex server designs and cloud-scale operational challenges.

About the company

  • Amazon Web Services is the world’s largest and most broadly adopted cloud platform, pioneering cloud computing innovation.
  • AWS values an inclusive culture that fosters diversity, employee-led affinity groups, and continuous learning.
  • The company emphasizes work-life harmony and flexibility to support employee success both professionally and personally.
  • AWS is a large, global enterprise with teams distributed across Seattle, Cupertino, Austin, and worldwide data centers.
  • Amazon promotes mentorship and career growth, encouraging diverse experiences and non-traditional career paths.

Key required skills

C++PythonJavaLinuxSystems design

Summary generated from the original posting.