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(Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation
Amazon
H1B ✓On-siteinternPosted April 22, 2026
About the Role
Interns will work on projects involving custom silicon design, software system development, and AI infrastructure optimization. Responsibilities include contributing to technical tracks such as compiler development, firmware engineering, and hardware/software integration to support AWS AI initiatives.
Requirements
Candidates must be currently enrolled in a full-time BS, MS, or PhD program in a technical field and returning to school after the internship. Applicants are required to have programming experience in C, C++, or Python and knowledge in areas like systems programming, machine learning frameworks, or hardware design.
Full Job Description
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.
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. 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
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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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
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.
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. 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
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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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