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

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

Were seeking bold innovators and builders for our 2026 internship program. At Annapurna Labs youll work on projects that directly impact millions of AWS customers worldwide tackling real technical challenges that push the boundaries of whats 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 well 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 well 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 heres 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 its 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. Theres usually something happening!

Remember: While each day brings different challenges youll always be doing meaningful work that pushes the boundaries of AI acceleration supported by a team thats 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. Youll 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 isnt just a program - its 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. Were proud that many of our interns return as full-time engineers continuing to push the boundaries of whats possible in AI acceleration.

- 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)

- 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 Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.