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Phinitylabs

Research Engineer - Hardware, Data

  • Seen live on Phinitylabs' site today
  • Senior
Pay
Not stated
Location
San Francisco
Open for
12+ days
First seen
Oct 23, 2026
Apply on Phinitylabs' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Phinitylabs' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Phinitylabs, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What it asks of you

10+ years of experience
“ecutives 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.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

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

Something wrong with this posting?