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Luma AI

Simulation Researcher/Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Redwood City, CA

Employer listed it 2 months ago · Added today

Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Hybrid · Redwood City, CA

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Software

This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Redwood City, CA, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Redwood City, CA, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

You'll help define the simulation substrate Luma uses to train general-purpose robot policies — a faithful, controllable simulation of the world built on our generative video and 3D models. You'll sit at the boundary between generative models and classical physics simulation, and decide where each one earns its keep.

It's a role at the edge of generative rollouts and physics engines, building environments and evaluation harnesses trainable at scale. It fits someone with real simulation-systems experience who's shipped tools other people used. If you want a pure-research or pure-graphics seat, this lives in the hybrid between them.

Full access

The full brief and the application link are for members.

Requirements, benefits, how to apply and the employer's own careers page, plus every other live role we track. £9.99/month, or £19.99 for your first 3 months.

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