Research Engineer - Hardware, Data

About this role

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