What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution, we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing.

We're seeking bold innovators and builders for our 2026 internship program. At Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization.

Want to architect next-generation AI chips that process billions of parameters? Build distributed systems that scale across thousands of accelerators? Create compiler optimizations that make ML training blazingly fast? Whether your passion lies in hardware design, distributed systems, compiler development, or ML infrastructure, we'll help you find your perfect fit and make meaningful contributions from day one.

Some of our technical tracks include:

🔹 ML Systems & Compilers
• Framework Optimization (PyTorch, JAX)
• Compiler Development & Optimization
• Distributed Training Systems
• Performance Engineering
• ML Infrastructure Development

🔹 Systems Software & Infrastructure
• Firmware & Driver Development
• Runtime Systems
• Fleet Management & Automation
• Hardware/Software Integration
• Performance Analysis Tools

🔹 Silicon Innovation & Design
• RTL Development for ML Accelerators
• Hardware Architecture & Modeling
• Physical Design & Power Optimization
• Custom Circuit Design
• Pre/Post Silicon Validation

Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all these opportunities, so we'll work together to find where you can learn the most and have the biggest impact.

A day in the life
(*Real innovation rarely follows a perfect schedule, but here's a glimpse!)

9:00 AM - Arrive at the office. First stop: Our micro-kitchen for coffee and breakfast snacks. Join other early (and not-so-early) birds as you fuel up for the day ahead.

9:30 AM - Daily team stand-up. Share updates on your project, whether it's distributed training systems or chip design. Your mentor helps navigate any unfamiliar territory.

10:00 AM - Deep work time. Dive into your project - optimizing ML frameworks, developing firmware, or designing next-gen AI accelerator chips.

12:00 PM - Intern cohort lunch. Compare notes with fellow interns and learn about the different technical challenges across teams.

1:30 PM - Collaboration with your mentor. Debug issues, brainstorm solutions, and ask those questions that have been on your mind.

3:00 PM - Team meeting. See how your work connects to Annapurna Labs' broader mission of revolutionizing cloud computing.

4:00 PM - Back to development. Continue project work, testing, or documentation.

5:30 PM - Wrap up your day, having contributed to systems that will impact millions of AWS customers.

6:00 PM - (Optional) Social time with the intern cohort. Pizza, bowling, tech talks, etc. There's usually something happening!

Remember: While each day brings different challenges, you'll always be doing meaningful work that pushes the boundaries of AI acceleration, supported by a team that's as passionate about innovation as you are.

About the team
At Annapurna Labs, our internship program is built on a foundation of meaningful work and genuine mentorship. You'll be part of a diverse cohort of interns from universities nationwide, each bringing unique perspectives to our mission of accelerating AI innovation. What sets us apart? Many of our senior engineers began their careers as interns here, creating a culture where mentorship isn't just a program - it's part of our DNA. Your experience will blend hands-on technical work with opportunities to connect with fellow interns through team events, tech talks, and social activities. We're proud that many of our interns return as full-time engineers, continuing to push the boundaries of what's possible in AI acceleration.

2026 Annapurna Labs at AWS Internships (US) - Machine Learning Systems & Silicon Innovation