About The Position

The EC2 Nitro platform powers the world’s largest, fastest-growing, and most feature-rich cloud computing environment. Designed by AWS from the ground up, Nitro leverages a fully customized stack of hardware, firmware, and software to deliver unparalleled virtualization at a global scale. Within the EC2 Nitro organization, the MLS team is tasked with developing the next generation of EC2 Supercomputers, optimized for high-performance training and inference workloads. We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms. In this role, the engineer will work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software etc.

Requirements

  • Solid understanding of computer science fundamentals.
  • Expertise in C/C++ or Rust development in a Linux environment.
  • Experience with Linux package management, version control systems, automated build processes, and software unit testing.
  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
  • Experience programming with at least one software programming language.
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded software applications, tools, systems, and services using: C, C++, Rust in Linux environment.
  • 1+ years of embedded software development experience.

Nice To Haves

  • In-depth knowledge of ML frameworks and cluster management is highly preferred.
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • Bachelor's degree in computer science or equivalent.

Responsibilities

  • Drive development for new EC2 machine learning platforms.
  • Work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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