Research Engineer - Hardware, Data

Full-time · On-site

  • San Francisco · CA
  • Posted 31 days ago
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Job description

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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