Founding Engineer, Robot Learning

Edison Smart®

New York (NY)

On-site

USD 150,000 - 300,000

Full time

8 days ago

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Benefits offered by this job

Equity

Job summary

New York City startup Edison Smart® is hiring to build humanoid robotics software and hardware in a fast-moving, onsite role in NYC. You will develop the simulation environments and evaluation stacks that drive real manipulation work with robots, not just simulations.

The team values hands-on builders who ship, with equity on offer and a lean, fast-moving culture. Expect ownership of sim-to-real transfer, tooling for data generation, training and evaluation, and close work with a small founding

Qualifications

  • Hands on robot learning or simulation experience, with learned behaviour deployed on physical robots.
  • Strong sim, system ID and sim to real fundamentals.

Responsibilities

  • Build the sim environments, tasks and evals the whole robot learning stack runs on.
  • Train manipulation policies and get them working on real hardware, not just in sim.
  • Own sim to real transfer end to end.
  • Build the tooling for data generation, training and evaluation from scratch.

Skills

Robot learning
Simulation
System ID
Sim-to-real

Tools

Robotics simulation tools

Job description

New York City | Onsite, 5 days | $150k to $300k + equity

Early stage humanoid startup in NYC, building robots that do real manipulation work. Small founding team, serious backing, and moving fast. Not a corporate gig.

What you’ll do
  • Build the sim environments, tasks and evals the whole robot learning stack runs on
  • Train manipulation policies and get them working on real hardware, not just in sim
  • Own sim to real transfer end to end
  • Build the tooling for data generation, training and evaluation from scratch
What we need
  • Hands on robot learning or simulation experience, with learned behaviour deployed on physical robots
  • Strong sim, system ID and sim to real fundamentals
Nice to have
Who this suits

Engineers who want to ship, not sit in meetings. Big tech or top lab background looking to go founding level and own something properly. Early career exceptional profiles considered, it’s about what you’ve built.

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