About this role
This role suits an engineer with low-level systems or VLSI background who wants to build training and evaluation data for hardware tasks at an AI research lab in San Francisco. Phinitylabs hires a full-time Research Engineer to develop data for training and evaluating agents on hardware tasks.
Role Overview
Phinitylabs operates as an artificial intelligence research laboratory focused on solving chip design challenges. The organization builds reinforcement learning environments, agent infrastructure, and evaluation systems to enable autonomous chip tape-outs from architecture to post-silicon. The team combines artificial intelligence and silicon expertise from top industry backgrounds.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Phinitylabs focuses on solving chip design bottlenecks to artificial intelligence general intelligence through autonomous chip tape-out agents. The organization features leadership with over ten years of chip building experience at companies such as NVIDIA, Intel, and Mediatek.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Research Engineer role?
The position is located in San Francisco.
What background is required for this position?
Applicants need prior low-level systems and/or VLSI experience, good research intuitions, rigorous engineering skills, and leadership capabilities with high ownership.
Are machine learning skills mandatory?
A machine learning or reinforcement learning background is listed as a plus rather than a strict requirement.
What benefits are provided?
Benefits include health insurance, retirement plans, unlimited paid time off, paid parental leave, and daily in-office lunch and dinner.
Where should applicants submit their applications?
Interested individuals should apply on the official company careers page.