At Phinity Labs, an AI research lab enabling agents to autonomously design chips, the Research Engineer (Hardware, Data) builds and scales environments/data to train and evaluate agents on real-world hardware tasks, profiles unreleased models, and runs research at the intersection of hardware engineering and RL. Onsite in San Francisco; needs low-level systems/VLSI experience.
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