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.
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