A
Not Specified Permanent

Bellevue, Washington · USA job

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

Amazon

Bellevue, Washington

Job description

Overview

In this role you design, implement, and own next generation AWS hardware and platform solutions that enable high-performance AI/ML and HPC workloads at cloud scale. You work across teams to deliver scalable, reliable server systems and tooling, influencing AWS platforms and bottom-line outcomes. You'll diagnose cross component issues, decompose complex problems, and drive architectural improvements. This role offers ownership, impact on product improvements, and the opportunity to shape the future of cloud hardware.

Compensation / Benefits
  • equity or stock-based compensation (possible)
  • sign-on payments (possible)
  • medical benefits (part of full compensation package)
  • competitive total compensation
  • flexible/strong work-life balance
  • career growth and mentorship opportunities
Responsibilities
  • Provide technical leadership to solve complex architectural problems with minimal definition
  • Own the team's systems, identify deficiencies, and write tactical code to prevent customer impact
  • Decompose difficult server system testability, reliability, and diagnosis issues into deliverable tasks
  • Apply knowledge of hardware, software, system designs, x86 architecture, processes, and operations to solutions
  • Collaborate across AWS Hardware Engineering, EC2, and other AWS services during concept, launch, and operation of server designs
  • Drive high quality and reliability in future AWS Accelerated server solutions for the cloud
  • Lead and execute projects with internal and external teams to deliver hardware in the fleet
  • Contribute to the design and delivery of next generation AWS platforms for AI/ML workloads
Key requirements
  • 2+ years of non-internship software development experience
  • 1+ years designing or architecting systems (design patterns, reliability, scaling)
  • 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering
  • Knowledge of systems engineering fundamentals (networking, storage, operating systems)
  • Experience programming in at least one modern language (C++, C#, Java, Python, Golang, PowerShell, Ruby)
  • Preferred: PowerShell, Python, Ruby, or Java; Agile/Scrum experience
  • strong leadership and organizational skills
  • excellent communication and planning abilities
  • self-starter with curiosity about cloud scale and impact of decisions
  • x86 architecture
  • hardware-software integration
  • systems design and diagnosis

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