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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: - 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 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.
Job Responsibility:
Work on projects that directly impact millions of AWS customers worldwide
Tackle real technical challenges that push the boundaries of what's possible in AI acceleration
Requirements:
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)
Nice to have:
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