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# Sr Embedded Software Engineer, Annapurna ML Software

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $193,300.0 - $261,500.0
- **Contract:** Internship / Graduate position
- **Skills:** Board Bringup, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, C++ (Programming Language), Code Review, Computer Programming, Software Debugging, Software Design Patterns, Linux, Device Drivers, Embedded Software, Firmware, Machine Learning, Software Deployment, Software Engineering, System Programming, Systems Integration, AWS Trainium, Information Technology, Build Process, Machine Learning Operations, Software Coding, Software Version Control, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://dejobs.org/x/x/1905CA581F104DD99A2F549EBB5B69CD/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
 * 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 * Experience as a mentor, tech lead or leading an engineering team, * Bachelor's degree in computer science or equivalent

## Description

* Define technical strategy and lead architecture for Annapurna Labs' machine learning platform, driving decisions that impact multiple product lines
 * Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration
 * Own end-to-end qualification frameworks and processes, mentoring engineers on implementation best practices
 * Drive end-to-end qualification processes for new software implementations
 * Craft high-performance solutions using C/C++ running on Linux

A day in the life

You'll architect and develop the software and firmware that drives NeuronSwitches- the high-performance interconnect fabric for Trainium chips. Day-to-day, you'll work closely with EC2, Annapurna Labs teams and manufacturing teams to bring up new hardware, debug board-level issues and optimize data paths. You'll write device drivers, build ML infrastructure, implement switch fabric control logic and develop the tooling needed for testing, qualification, and production deployment.

This is hands-on systems work- from initial hardware bring-up through manufacturing scale-up.

About the team

The Annapurna ML Software team builds the software and firmware that powers NeuronSwitches- AWS' next-generation switching infrastructure forming the high-performance interconnect fabric for Trainium 3

chips. We focus on mission-mode control of sensors, board-level hardware, and the critical data paths that enable chip-to-chip communication at scale. Our work spans device drivers, switched fabric and everything in between- from debug and testing through qualification and manufacturing.

We work at the hardware-software boundary where silicon meets systems. While ML engineers optimize models and algorithms, we ensure the underlying infrastructure can move data at the

speeds those workloads demand. If you're excited about low-level systems programming, hardware bring-up, and building the foundation that makes next generation AI possible, this is the team