Senior Robotics Simulation Engineer (Hybrid)

General Motors; Sunnyvale, Northern (CA, KY); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Relocation benefits

Job summary

General Motors in Sunnyvale, CA seeks a Staff Software Engineer to develop 2D/3D simulation environments for AMR robot systems, implement realistic test scenarios, and validate navigation, localization, and planning software before real‑world deployment.

You will collaborate with autonomy and AI experts to improve simulation platforms, run regression tests, optimize performance, and integrate hardware‑in‑the‑loop workflows across cross‑functional teams.

Qualifications

• Bachelor’s, master’s, or doctoral degree in robotics, computer science, electrical or mechanical engineering, or a related field.
• Proficiency in Python or C++.
• Experience with simulation platforms such as NVIDIA Isaac Sim or Gazebo.
• Knowledge of physics engines (PhysX, Bullet, ODE) or 3D game engines (Unity, Unreal).
• Familiarity with ROS 2 or other robotics middleware.
• Understanding of localization, mapping, and planning modules.

Responsibilities

• Develop and enhance 2D and 3D simulation platforms for testing, validation, and performance analysis of autonomous robotic systems.
• Create and maintain simulation scenarios representing real-world use cases and edge conditions.
• Integrate robot navigation software with simulation platforms.
• Support debugging and testing of robot behavior in simulated environments.
• Analyze simulation results to identify software and system issues.
• Develop regression and progression testing workflows for simulation-based validation.

Skills

Python

C++

ROS 2

2D/3D Simulation

Navigation

Education

Bachelor’s/Master’s/PhD in robotics or related field

Tools

Gazebo

NVIDIA Isaac Sim

PhysX

Bullet

ODE

Unity

Unreal Engine

Job description

General Motors in Sunnyvale, CA seeks a Staff Software Engineer to develop 2D/3D simulation environments for AMR robot systems, implement realistic test scenarios, and validate navigation, localization, and planning software before real‑world deployment.

You will collaborate with autonomy and AI experts to improve simulation platforms, run regression tests, optimize performance, and integrate hardware‑in‑the‑loop workflows across cross‑functional teams.