Applied Researcher - Chip Design
Prime Intellect · San Francisco · New York · Remote · London
Infrastructureremote$150k–$300k
At a glance
Highlights
- Build RL agents for real chip design and verification workflows.
- Create interactive environments where agents iterate toward verified results.
- Deploy working systems into shared open-source research and product.
What they offer
- Equity incentives
- Flexible work across San Francisco, New York, London, or remote
- Visa sponsorship and relocation support
- Professional development budget
- Team off-sites and conference attendance
Ideal candidate
Experimental researcher who loves ambiguous, externally-facing problems and turning real engineering workflows into robust agents. Motivated by careful analysis, honest failure attribution, and building systems others can use.
Requirements
- Depth in RL, agents, or post-training systems with ability to become fluent in semiconductor workflows
- Hands-on experience building and debugging training, post-training, agent, or evaluation loops
- Strong experimental judgment with meaningful baselines and clear failure attribution
- Strong Python and ability to build artifacts others can run, inspect, and extend
- Comfort owning ambiguous problems and keeping partners and teammates current
- remote policy
- Remote available
- visa sponsorship
- Visa sponsorship and relocation support available
Lab profile
About Prime Intellect
Building the open superintelligence stack for post-training frontier AI at scale
What they build
- Lab platform
- Compute and environments
- Evaluations
Known for
- Post-training at frontier scale
- SFT and RL
- Tool use and agent workflows
- High-performance training infrastructure
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