Intern, Evaluation

Ayar Labs • San Jose, CA

4d • $44 - $55 • Onsite

About The Position

Ayar Libs is exploring the cutting edge of AI-driven Electronic Design Automation (EDA) to optimize the quality, efficiency, and cost of our next-generation silicon. Our design team is currently investigating open-source AI solutions to revolutionize standard physical design workflows. We are looking for a motivated undergraduate or graduate intern to join our team, where you will lead the evaluation and deployment of a reinforcement learning-based chip design AI model.

Requirements

• Actively pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent.
• Strong programming skills in Python; familiarity with ML frameworks (specifically JAX, TensorFlow, or PyTorch) is a strong plus.
• Familiarity with Reinforcement Learning (RL) concepts and/or VLSI physical design fundamentals (specifically floorplanning, placement, and routing).
• Experience with Linux environments and basic scripting for automation.
• The ideal candidate is an independent and highly motivated researcher who is comfortable digesting technical papers and translating them into practical engineering experiments.

Responsibilities

• Explore the capabilities of the AI model framework, adapting it to our specific design constraints and benchmarking it against our existing commercial EDA tools.
• Analyze the impact of AI-driven macro placement on Power, Performance, and Area (PPA) metrics.
• Projects are tailored to your technical strengths, and you will be mentored by senior physical design engineers as you help determine the strategic viability of incorporating the AI model into our production flow.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees