About the 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
Text as published by Phinity Labs. We don't edit postings; apply and ask questions on the employer's site.