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Roles
Compensation
USD 130000 - 200000
$130k–200k + early equity
- Salary period
- yearly
- Location basis
- unclear
- Equity
- early equity
Benefits
- Early equity
Tech stack
Required
Nice to have
Location
REMOTE (US/Canada), then ONSITE SF from fall 2026
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- REMOTE (US/Canada), then ONSITE SF from fall 2026
- Remote scope
- country-limited
- Timezones
- Remote US/Canada (no specific timezone overlap stated)
- Travel
- unclear
- Relocation
- available
- Visa
- Visa OK
- Authorization
- unclear
Role details
Responsibilities
- Build per-sim adapters to a shared interface contract
- Bridge single-env vs. GPU-vectorized and sync vs. async paradigms
- Own the eval harness
- Test model architectures against many sims and integrate them
- Build per-sim adapters that conform a wide variety of sims to a shared interface contract.
- Build back-end connective tissue across paradigms that weren’t originally meant to talk to each other (single-env vs. GPU-vectorized, synchronous vs. asynchronous).
- Help build out our eval harness in a maintainable way. Regression testing, reproducibility, logging, etc.
- Help us create new quick-and-dirty sims to test client needs.
- Be someone who can own clean handoffs, documentation, containerization, etc.
Requirements
- Strong Python
- Gymnasium experience (especially the vector API)
- Hands-on experience with Isaac, MuJoCo, or Gazebo
- Track record of getting models running in sims where they didn’t before
Application
Email hi@lumenresearch.co about you and your projects — link one where you got a model working in a sim it wasn’t built for.
- Email subject
- Projects you’ve worked on, why you’d want to work at Lumen, link to project where you got a model working in a sim it wasn’t built for
- Portfolio
- required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
Company context
Building the cognitive layer for physical AI
- Product
- cognitive layer for physical AI; simulation/RL integration
- Industry
- unclear
- Size
- Team of two ex-founders (you’d be #3)
- Stage
- Pre-seed
- Funding
- Runway well into 2027; raising a seed later this year
- Open source
- Upstream useful pieces as open-source contributions
Contact
hi@lumenresearch.co
Description
Lumen (<https://lumenresearch.ai>) is building the cognitive layer for physical AI. Most robotics efforts today learn from thousands of hours of human teleoperation; we think that has a ceiling. Team of two ex-founders — you’d be #3. Pre-seed, runway well into 2027, raising a seed later this year. We test many model architectures against many sims, and hooking them together is our biggest pain point. We use Gymnasium and Shimmy as the plumbing and upstream useful pieces as open-source contributions. You’d build per-sim adapters to a shared interface contract, bridge single-env vs. GPU-vectorized and sync vs. async paradigms, and own our eval harness. Looking for: strong Python, Gymnasium (especially the vector API), hands-on experience with Isaac, MuJoCo, or Gazebo, and a track record of getting models running in sims where they didn’t before. Email hi@lumenresearch.co about you and your projects — link one where you got a model working in a sim it wasn’t built for. Full posting: https://desert-bearskin-26d.notion.site/Simulation-Engineer-Lumen-399e2e6bfecb80a69dd3fc78b7e8dfbb?source=copy_link
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