2026 Early Career | Machine Learning Systems & Silicon Innovation – Annapurna Labs at AWS

Filled
February 10, 2026
Apply Now

Job Description

Company: Annapurna Labs (U.S.) Inc.
Locations: Cupertino, CA | Austin, TX | Seattle, WA
Job Type: Full-Time

About Annapurna Labs

At Annapurna Labs, an Amazon company, we don’t just participate in the AI revolution – we accelerate it. We design custom silicon and revolutionary software systems 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.

Our Early Career 2026 program gives aspiring engineers the chance to work on projects that directly impact millions of AWS customers, tackling real technical challenges that push the boundaries of AI acceleration.

Technical Tracks

1. ML Systems & Compilers

  • Framework optimization (PyTorch, JAX)
  • Compiler development and optimization
  • Distributed training systems
  • Performance engineering
  • ML infrastructure development

2. Systems Software & Infrastructure

  • Firmware and driver development
  • Runtime systems
  • Fleet management and automation
  • Hardware/software integration
  • Performance analysis tools

3. Silicon Innovation & Design

  • RTL development for ML accelerators
  • Hardware architecture and modeling
  • Physical design and power optimization
  • Custom circuit design
  • Pre/post silicon validation

Basic Qualifications

  • Experience programming in C/C++, Python, Java, or Perl
  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Applied Science, or related technical field
  • Experience in two or more of the following areas:
    1. Hardware design (RTL, System Verilog, FPGA)
    2. Systems programming or low-level software
    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

  • Internship, research, or industry experience in hardware/software co-design, ML systems, or computer architecture
  • Contributions to open-source projects or research publications
  • Coursework in machine learning, parallel computing, computer architecture, or compiler construction

Compensation & Benefits

  • Cupertino, CA: $127,100 – $185,000 USD/year
  • Austin, TX: $110,500 – $160,000 USD/year
  • Seattle, WA: $110,500 – $160,000 USD/year
  • Sign-on payments and RSUs included
  • Full benefits: health, dental, vision, life insurance, 401(k) matching, paid time off, parental leave, EAP, mental health support, and more

Annapurna Labs encourages curiosity, bold ideas, and innovation. If you’re eager to contribute to cutting-edge AI hardware and software, while learning from top engineers in a fast-paced, collaborative environment, this program is for you.

Company: Annapurna Labs (U.S.) Inc.
Job ID: A3175965