Research Engineer - Hardware, Data

Phinity Labs · San Francisco

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Phinity is an AI research lab focused on solving chip design. The bottleneck to AGI is compute, and we enable AI agents to tape-out chips autonomously, from architecture to post-silicon. We are building RL environments, agent infrastructure, and evaluation systems to accomplish this. Our team brings together deep AI and silicon expertise, including leaders and executives from top chip companies, post-training chip-design models at NVIDIA, AI for formal verification research, previous exits, and over 10 years of experience building chips at NVIDIA, Intel, Mediatek, and others.

We are hiring a Research Engineer to develop data in order to train and evaluate agents on hardware tasks.

You will

• Build and scale out generation of novel, experimental environments for testing agents in real-world hardware engineering tasks

• Profile and benchmark unreleased models

• Run and experiment on research problems at the intersection of hardware engineering and reinforcement learning

What we’re looking for

• Prior low-level systems and/or VLSI experience

• Good research intuitions and rigorous engineering skills

• Leadership skills; high ownership

• ML/RL background is a plus

• Operational experience is a plus

Why Phinity

• Work directly with frontier AI labs to re-imagine ASIC design–see the frontier of intelligence before anyone else

• Collaborate with our AI researchers and HW experts, with high leverage and ownership to develop new technologies

Benefits include

• Health insurance

• Retirement plans

• Unlimited PTO

• Paid parental leave

• Lunch and dinner provided in-office

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