Software Engineer II, Annapurna Labs ML Acceleration System Software

Software Engineer II, Annapurna Labs ML Acceleration System Software

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world.

We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for 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, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter.

Come join our team.

• Member of a team responsible for the software associated with server components and integration into 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.

• 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

• 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

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, CA, Cupertino –  –  USD annually
USA, TX, Austin –  –  USD annually

Posted: May 1, 2026 (Updated about 7 hours ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.