We9re seeking bold innovators and builders for our Fall 2026 internship program. At Annapurna Labs, you9ll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what9s 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:
- Framework Optimization (PyTorch, JAX)
- Compiler Development & Optimization
- Distributed Training Systems
- Performance Engineering
- ML Infrastructure Development
- Firmware & Driver Development
- Runtime Systems
- Fleet Management & Automation
- Hardware/Software Integration
- Performance Analysis Tools
- 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 we9ll 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. You9ll 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 isn9t just a program - it9s 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. We9re proud that many of our interns return as full-time engineers, continuing to push the boundaries of what9s possible in AI acceleration.
BASIC QUALIFICATIONS
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field
- Must be enrolled in a full-time degree program at time of application and returning to school after the internship
- Programming experience in C, C++, Python, or similar languages
- Experience in two or more of the following areas: 1. Systems programming or low-level software development 2. Compiler design or optimization 3. Machine learning frameworks (PyTorch, JAX, TensorFlow) 4. Distributed systems or parallel computing 5. Performance analysis and optimization 6. Hardware design (RTL, Verilog, FPGA development)
PREFERRED QUALIFICATIONS
- Previous internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture
- Contributions to open-source projects or research publications
- Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, CA, Cupertino - 127,100.00 - 185,000.00 USD annually
USA, TX, AUSTIN - 110,500.00 - 160,000.00 USD annually
USA, TX, Austin - 110,500.00 - 160,000.00 USD annually
USA, WA, SEATTLE - 110,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually