Lead Robotics Simulation Engineer - ROS 2 & NVIDIA Isaac

Grid Dynamics

Kraków

Sur place

PLN 180 000 - 300 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Bleeding-edge projects
Motivated team
Competitive salary
Flexible schedule
Medical insurance
Sports benefits
Corporate social events
Professional development opportunities
Well-equipped office

Résumé du poste

Grid Dynamics seeks a Senior Robotics Simulation Engineer to join a new team building an AI-first simulation platform on NVIDIA tech for autonomous heavy equipment. You will bridge our engineering effort with the client’s robotics and autonomy groups, bringing robot behavior into Isaac Sim and Lab, and advancing sim-to-real workflows.

You’ll own simulation development, integrate ROS 2, and mentor junior engineers while shaping scalable validation for real machines.

Qualifications

  • Senior level with robotics or autonomy experience.
  • Hands-on experience simulating robot behavior in Isaac Sim/Isaac Lab.
  • Proven ROS 2 integration capabilities with a simulator.
  • Strong in controllers, planners and policy testing in simulation.
  • Experience with Python for automation.

Responsabilités

  • Bring robot and machine behavior into simulation and connect to the autonomy stack through ROS 2.
  • Build and tune controllers, planners and learned policies for simulated robots.
  • Support autonomy validation with scenario-based simulation tests.
  • Close the sim-to-real gap with physics and sensor simulation engineers.
  • Develop simulation AI agents to automate scenario runs.

Outils

Isaac Sim
Isaac Lab

Description du poste

Grid Dynamics seeks a Senior Robotics Simulation Engineer to join a new team building an AI-first simulation platform on NVIDIA tech for autonomous heavy equipment. You will bridge our engineering effort with the client’s robotics and autonomy groups, bringing robot behavior into Isaac Sim and Lab, and advancing sim-to-real workflows.

You’ll own simulation development, integrate ROS 2, and mentor junior engineers while shaping scalable validation for real machines.

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