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AI Robotics Simulation Engineer

Riley Magnusson

Full-time · Job · New_York

About the role

Training robots in the real world is expensive, slow, and occasionally destructive. Our simulation platform lets robotics teams train manipulation policies in physics-accurate virtual environments, then transfer those policies to real hardware with minimal fine-tuning. We simulate contact dynamics, deformable objects, and sensor noise at speeds 1000x faster than real-time. You'll build the simulation environments and the sim-to-real transfer pipeline: designing physics-accurate task scenarios, implementing domain randomization strategies that close the reality gap, and building the evaluation infrastructure that predicts real-world performance from simulation metrics. The sim-to-real gap is the fundamental challenge. A policy that works perfectly in simulation might fail completely on real hardware because of unmodeled friction, sensor calibration differences, or timing variations. You'll develop systematic approaches to identifying and closing these gaps — turning simulation from a toy into a reliable training ground.

Responsibilities

  • Design physics-accurate simulation environments for robotic manipulation
  • Build domain randomization strategies to close the sim-to-real transfer gap
  • Implement evaluation infrastructure predicting real-world from simulation performance
  • Optimize simulation speed while maintaining physics accuracy
  • Develop systematic approaches for identifying sim-to-real failure modes

Requirements

  • 5+ years in robotics simulation or reinforcement learning
  • Strong PyTorch skills for policy training
  • Experience with physics simulation engines and contact dynamics
  • Understanding of sim-to-real transfer challenges
  • Published work in robotics, simulation, or RL is a plus

Benefits

  • Fully remote — US time zones
  • Senior equity package
  • Access to real robot hardware for validation
  • $4,000 annual conference budget

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Categories

AI & Machine Learning Engineers

Skills

python pytorch reinforcement learning docker aws

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Language

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Salary Range

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AI Expertise

AI & Machine Learning Engineers

Skills

python pytorch reinforcement learning docker aws numpy

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