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 Fall 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.
Some of our technical placements include:
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.
NOTE: Accepting applications for Fall 2026 ONLY. Must be available for a minimum of 40 hours per week, for 12-weeks of in-person employment.
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.