Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
The Research Engineer will develop and scale experimental environments to test AI agents on real-world hardware engineering tasks. They will also profile unreleased models and conduct research at the intersection of hardware engineering and reinforcement learning.
What they look for
Requirements
Candidates should have prior low-level systems or VLSI experience along with strong research intuition and rigorous engineering skills. A background in machine learning or reinforcement learning is considered a plus.
Benefits
Full 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
