Fall Annapurna Labs at AWS Internship; US - Machine Learning Systems & Silicon Innovation

Description

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

We are seeking bold innovators and builders for our Fall 2026 internship program. At Annapurna Labs, you will work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what is 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 will 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.

At Annapurna Labs, our internship program is built on a foundation of meaningful work and genuine mentorship. You will be part of a diverse cohort of interns from universities nationwide, each bringing unique perspectives to our mission of accelerating AI innovation. Many of our senior engineers began their careers as interns here, creating a culture where mentorship is not just a program—but 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 are proud that many of our interns return as full‑time engineers, continuing to push the boundaries of what is possible in AI acceleration.

• Work 40 hours per week minimum and commit to a 12‑week internship maximum
• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Must be enrolled in a full‑time degree program at the time of application and return to school after the internship
• Programming experience in C, C++, Python, or similar languages
• Experience in two or more of the following areas:
  • Systems programming or low‑level software development
  • Compiler design or optimization
  • Machine learning frameworks (PyTorch, JAX, Tensor Flow)
  • Distributed systems or parallel computing
  • Performance analysis and optimization
  • Hardware design (RTL, Verilog, FPGA development)

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and…