Research Engineer - Hardware, Data

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