Software Engineer, ML Acceleration Systems

Requirements:

• 3+ years of professional software development experience outside of internships
• 2+ years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• Proficiency programming in at least one software language
• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelors degree in computer science or an equivalent background

Responsibilities:

• We are responsible for software that supports server components and integrates with EC2
• We collaborate with hardware, test, and manufacturing teams to build a coordinated software package that supports qualification and rapid software deployment
• We develop maintainable, improvable, well-documented, tested, and reusable software in C, C++, Python, and Lua
• We focus on server software for initialization, monitoring, debugging, testing, qualification, and manufacturing
• We use software and automation to help our organization scale

Technologies:

• AWS
• Cloud
• EC2
• Hardware
• Support
• Machine Learning
• Python
• PCIe
• Web

More

Annapurna Labs designs silicon and software that accelerate innovation, and our custom chips, accelerators, and software stacks help customers solve complex cloud challenges. Our Machine Learning Server Software Team builds production software for the worlds most advanced machine learning acceleration servers, with a focus on physical systems, device drivers, and hardware-level monitoring rather than machine learning algorithms. We support new team members through mentoring, knowledge sharing, and thoughtful code reviews, and we provide strong career growth opportunities. AWS also emphasizes inclusion, work-life harmony, and professional development. The role is based in the United States, with listed salary ranges for Cupertino, California and Austin, Texas, and includes comprehensive benefits such as health coverage, retirement matching, paid time off, parental leave, and other employee support programs.

last updated 43 week of 2026