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# Senior Software Development Engineer, EC2 Nitro

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $168,100.0 - $227,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Amazon Elastic Compute Cloud, Cloud Computing, Code Review, Computer Programming, Computer Engineering, Software Design Patterns, Embedded Software, Firmware, Machine Learning, Regression Testing, Software Engineering, Computer Networking Systems, Large Language Models, Information Technology, Build Process, Software Coding, Software Version Control, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://dejobs.org/x/x/2B3EF203905C4F58BE41EF63D9596F41/job/

## About the Role

* 5+ years of non-internship professional software development experience
 * 5+ years of programming with at least one software programming language experience
 * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 * Experience as a mentor, tech lead or leading an engineering team, * 5+ 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
 * Experience in embedded development in C/C+Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

## Description

* Design and develop innovative technologies that power the infrastructure supporting machine learning workloads on Ultraservers
 * Lead technical projects establishing EC2 as the pioneer in cloud computing for ML workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures.
 * Develop and maintain comprehensive regression testing systems that validate performance across major component releases including frameworks, firmware, drivers, and networking infrastructure.
 * Collaborate with hardware engineering teams to influence future platform designs based on performance insights gathered from state-of-the-art research and customer workloads.
 * Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels.

About the team

The EC2 Machine Learning Supercompute team develops next generation Ultraserver platforms to power high-performance training and inference workloads.


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