2026 Annapurna Labs at AWS, Early Career (US) – Machine Learning Systems & Silicon Innovation

Job Summary: 2026 Early Career Technical Roles – Annapurna Labs (Amazon)

Are you ready to build the custom silicon and revolutionary software that powers the world’s most advanced AI infrastructure? Annapurna Labs, an Amazon company, is seeking bold innovators for our 2026 Early Career program. This isn’t just a starting point; it’s an opportunity to accelerate the AI revolution by working on next-generation chips and distributed systems that impact millions of AWS customers globally.

Basic Qualifications

• 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

Preferred Qualifications

• 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

The Role

In this position, you will be matched with one of several high-impact technical tracks based on your unique background and interests. Whether you are optimizing ML frameworks like PyTorch, developing firmware for fleet management, or designing RTL for custom ML accelerators, you will be solving the “impossible” challenges of cloud computing. This role allows you to work at the intersection of hardware and software, contributing to the very foundation of how large language models are trained and deployed at scale.

Technical Tracks Include:

• ML Systems & Compilers: Framework and distributed training optimization.

• Systems Software & Infrastructure: Firmware, drivers, and performance analysis.

• Silicon Innovation & Design: RTL development and pre/post-silicon validation.

Locations: Cupertino, CA | Austin, TX | Seattle, WA

Salary Range: $110,500 – $185,000 USD annually (plus sign-on and RSUs)