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

Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

Posted 3 days ago
Apply on company site
Ruby optionalBackend

About the role

What you'll do

  • Lead the design, delivery, and operation of next-generation AWS platforms for AI/ML and HPC workloads.
  • Develop and implement automation and AI-driven tools to enhance server system testability, reliability, and diagnostics.
  • Collaborate with cross-functional teams including SDEs, hardware engineers, and TPMs throughout server conception, launch, and operations.
  • Own systems proactively by identifying deficiencies and writing tactical code to solve issues before impacting customers.
  • Work onsite in a fast-paced, innovative environment focused on cloud-scale hardware and software integration.

What you should know

  • Ideal candidates should be innovative self-starters with strong systems debugging and architectural skills.
  • The role offers unique exposure to the intersection of AI-driven automation and cloud platform development.
  • Applicants will join a diverse, collaborative team working on cutting-edge server and cloud infrastructure technologies.
  • Candidates should be comfortable working onsite in Seattle within a fast-paced, high-impact environment.
  • This position provides direct ownership and the opportunity to influence both AI implementation and core architecture.

About the company

  • AWS is a global leader in cloud computing, pioneering innovation with a broad and comprehensive platform.
  • The company fosters an inclusive culture that values diversity, curiosity, and employee empowerment.
  • AWS Hardware Engineering delivers industry-leading server designs critical to the success of millions of customers worldwide.
  • Amazon emphasizes mentorship, career growth, and work-life balance to support employee development and wellbeing.
  • AWS operates at massive scale, supporting a complex global infrastructure with a focus on operational excellence and cost efficiency.

Key required skills

C++PythonPowerShellRubySystems engineering

Summary generated from the original posting.