Drimva

Amazon

Software Dev Engineer, EC2 Nitro, EC2 Nitro

$144K–$194K

Seattle, WA · Full-time · Posted Oct 1, 2026

Experience
3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ years developing specified software applications, tools, systems, or services.
Education
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

About the job

Develop software for new EC2 machine-learning platforms and next-generation EC2 Supercomputers for high-performance training and inference workloads, collaborating across hardware, firmware, systems, and application software teams.

What you'll do

  • Drive development of new EC2 machine-learning platforms.
  • Develop software for EC2 Supercomputers optimized for high-performance training and inference.
  • Collaborate with teams developing hardware, firmware, systems, and application software.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
  • 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.

Nice to have

  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Knowledge of computer architecture, operating systems, and parallel computing; in-depth knowledge of ML frameworks and cluster management is highly preferred.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

C#, C++, Java, Perl

AI focus

Develop machine-learning platforms and supercomputers optimized for high-performance training and inference workloads.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)