Annapurna Labs at AWS, Early Career; US - Machine Learning Systems & Silicon Innovation

Overview

2026 Annapurna Labs at AWS, Early Career (US) - Machine Learning Systems & Silicon Innovation. What if you could help build something that’s never existed before? At Annapurna Labs, an Amazon company, we design custom silicon and revolutionary software systems powering the world’s most advanced AI infrastructure m training the largest language models to developing breakthrough ML accelerator chips, we’re inventing the future of cloud computing.

We’re seeking bold innovators and builders for our 2026 Early Career roles, with multiple technical tracks matched to your skills and interests across our organization.

Whether you want to architect next-generation AI chips, build distributed systems that scale across thousands of accelerators, or create compiler optimizations that accelerate ML training, you’ll find a fit here. Your placement will be determined through our interview process, taking into account your technical background, interests, and the projects 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.

• 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 application status is determined through our interview process, ensuring you’re placed where you can learn most and contribute meaningfully from day one.

• Experience programming languages such as C/C++, Python, Java or Perl
• BS, MS, or PhD in Computer Science, Computer Engineering, Applied Science, Electrical Engineering, Mechanical Engineering or related technical field
• Experience in two or more of the following areas: hardware design (RTL, System Verilog, FPGA development); 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

• Previous industry, 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 include working safely and cooperatively with others, adhering to standards of excellence under stress, communicating effectively, and following all laws and Company policies. Criminal history may have a direct, adverse relationship with some duties. We will consider qualified applicants with arrest and conviction records under the Los Angeles County Fair Chance Ordinance.

Our inclusive culture empowers Amazonians to deliver the best results. If you need a workplace accommodation during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance and option for supplemental life plans, EAP, mental health support, medical advice line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, CA, Cupertino -  -  USD annually
USA, TX, AUSTIN -  -  USD annually
USA, WA, SEATTLE -  -  USD annually

Posted: August 26, 2025 (Updated 2 days ago)

Posted: March 12, 2025 (Updated 2 days ago)

Posted: February 6, 2026 (Updated 2 days ago)

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