Annapurna Labs at AWS Internships (US) - Machine Learning Systems & Silicon Innovation (Mar 2026)

Join Annapurna Labs at AWS to innovate AI acceleration through hardware design, software systems, and ML infrastructure in a 2026 internship.

Your Role

Here’s what you will be doing:

• Work on projects impacting millions of AWS customers, focusing on AI acceleration and cloud computing innovation.
• Engage in technical tracks such as ML Systems & Compilers, Systems Software & Infrastructure, or Silicon Innovation & Design.
• Develop and optimize ML frameworks (PyTorch, JAX), compilers, distributed training systems, firmware, drivers, and hardware architecture.
• Collaborate with mentors and teams through daily stand-ups, debugging sessions, and team meetings.
• Contribute to designing next-generation AI chips, distributed systems, compiler optimizations, and ML infrastructure development.
• Participate in intern cohort activities including lunches, social events, and tech talks.

About You

The company is looking for candidates who meet the following qualifications:

• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
• Enrolled full-time at the 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:
  • Systems programming or low-level software development
  • Compiler design or optimization
  • Machine learning frameworks (PyTorch, JAX, TensorFlow)
  • Distributed systems or parallel computing
  • Performance analysis and optimization
  • Hardware design (RTL, Verilog, FPGA development)
• Preferred qualifications include previous internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture.
• Contributions to open-source projects or research publications are a plus.
• Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture, and/or compiler construction.
• Ability to work 40 hours/week for up to 12 weeks.

Compensation & Benefits

• Hourly pay ranges from $47.84 to $96.15 depending on geographic location and experience.
• Potential equity, sign-on payments, and other compensation as part of a total package.
• Full range of medical, financial, and other benefits.

Training & Development

• Meaningful mentorship from senior engineers who often began as interns.
• Hands-on technical work with opportunities to collaborate and learn across multiple technical tracks.
• Participation in team events, tech talks, and social activities to enhance learning and networking.

Career Progression

Many interns return as full-time engineers, continuing to innovate in AI acceleration at Annapurna Labs and AWS.

How to Apply

• Submit one application to be considered for all available technical tracks.
• Placement is determined through the interview process based on technical background and interests.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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