Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software
Company: Amazon Web Services
Location: Austin, TX
Salary: $143,700 - $194,400 a year
Type: Full-time
Posted: 2026-04-09
About this role
## DESCRIPTION
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry.
The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers.
We help to maintain and manufacture the most advanced servers in the world.
We touch technologies from the accelerator inner-workings to the I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, accelerator inner-workings are our bread and butter. Come join our team.
Key job responsibilities
- Member of a team responsible for the software associated with server components and integration in to EC2.
- Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software.
- Developing software (C/C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused.
A day in the life
The MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS v...