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

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

$129,200 - $201,200 Posted 22 days ago
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Ruby optionalBackend

About the role

What you'll do

  • Lead design and development of next-generation AWS AI/ML server platforms with a focus on scalability and performance.
  • Collaborate cross-functionally with SDEs, hardware engineers, TPMs, and managers across multiple AWS teams and locations.
  • Own system reliability by proactively identifying issues, writing tactical code, and scaling solutions for server systems.
  • Solve complex architectural problems involving hardware, software, x86 architecture, and system diagnostics.
  • Drive continuous improvements impacting AWS bottom line and customer experience in cloud AI training and inference.

What you should know

  • Role requires being an innovative self-starter with strong organizational and communication skills.
  • Candidates should be comfortable working in a fast-paced, growing, and collaborative environment with global teams.
  • Opportunity to have direct ownership and visible impact on AWS cloud infrastructure and product improvements.
  • Applicants should expect to solve undefined, complex system problems spanning hardware and software layers.
  • Experience with Agile methodologies and a passion for continuous learning and high standards are valued.

About the company

  • Amazon Web Services (AWS) is the world’s largest and most comprehensive cloud platform, trusted by startups and Global 500 companies.
  • AWS values innovation and operational excellence, pioneering cloud computing with continuous new service releases.
  • The Hardware Engineering team focuses on frugal, high-quality server designs critical to AWS business success.
  • AWS fosters an inclusive culture with employee-led affinity groups and events promoting diversity and belonging.
  • The company supports work-life harmony and offers extensive mentorship and career growth resources.

Key required skills

Strong programming skills in C++, Python, Java, or similar modern languagesDeep knowledge of systems engineering fundamentals including networking, storage, and operating systemsExperience with designing and architecting scalable, reliable systemsHands-on experience with server hardware and system diagnosticsFamiliarity with PowerShell, Agile Scrum methodology preferred

Summary generated from the original posting.