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# Kernel/OS Engineer, AWS EC2 Nitro Operating System

- **Company:** Amazon.com, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $165,200.0 - $223,600.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Software Applications, Code Review, Computer Programming, Software Debugging, Software Design Patterns, Linux, Linux on Embedded Systems, Embedded Software, Firmware, Linux Kernel, Software Engineering, Information Technology, Production Code, Build Process, Software Coding, Software Version Control
- **Published:** July 16, 2026
- **Apply:** https://www.juju.com/job/00000000ggwd7j

## 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

 - Experience programming with at least one software programming language

Preferred Qualifications

 - 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

## Description

The Nitro Linux team owns the secure, embedded Linux environment at the heart of this system. We build and maintain the operating system that integrates with the Nitro control plane and powers live updates, metrics collection, core dump handling, and system health monitoring across AWS's global infrastructure. Linux, ash, C, lua, Rust - join us for embedded software systems at cloud scale!

Key job responsibilities

 - Research, design, and implement Linux kernel changes to meet business requirements

 - Drive kernel development for next-generation EC2 compute platforms

 - Bring up Linux on new hardware platforms and custom silicon

 - Debug complex, system-level, multi-component issues across layers from kernel to application

 - Profile system performance and drive optimizations across the software stack

 - Develop tooling for performance characterization, qualification, and deployment

 - Deliver production-quality code and support its operation in production environments

 - Collaborate across hardware, firmware, systems, and application software teams

 - Openness to leveraging AI tools and technologies to enhance productivity and technical problem-solving.


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