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# Embedded Software Engineer, EC2 Nitro Networking , EC2 Nitro Networking

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Amazon Elastic Compute Cloud, C++ (Programming Language), Computer Programming, Software Design Patterns, Memory Management, Embedded Software, Machine Learning, Software Engineering, Parallel Computation, Integration Tests, Information Technology
- **Published:** October 22, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28126197/Embedded-Software-Engineer-Ec2-Nitro-Networking-Ec2-Nitro-Networking-Washington-Seattle-7375

## About the Role

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

Preferred Qualifications

 - Experience in embedded development in C/C++
 - Experience writing low level drivers
 - Knowledge of system performance, memory management, and parallel computing principles

## Description

Design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads.

 - You set high standards for development processes, tools, and automation to enhance team productivity and quality.
 - You influence best engineering practices on design and coding.
 - You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team.
 - Mentor junior engineers with scoping, design, and developing scalable and maintainable code.
 - Collaborate with Senior/Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions.