Machine Learning Systems & Silicon Innovation

- 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: 1. Hardware design (RTL, System Verilog, FPGA development) 2. Systems programming or low-level software development 3. Compiler design or optimization 4. Machine learning frameworks (PyTorch, JAX, TensorFlow) 5. Distributed systems or parallel computing 6. 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 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 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 also 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 coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/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
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 2026 Early Career roles. This isn't your typical early career role - 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.

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, we'll 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 we'll work together to find where you can learn the most and have the biggest impact.