Senior Simulation Engineer – Autonomous Driving

generalmotors

Sunnyvale (CA)

On-site

USD 148,000 - 226,000

Full time

14 days+
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Benefits offered by this job

Health and wellbeing benefits
GM vehicle discounts
Paid vacation & holidays
Tuition assistance

Job summary

General Motors in Sunnyvale, CA is seeking a software engineer for the Simulation Engine team. You will drive development of simulation frameworks for validating the autonomy stack and the gym environment for reinforcement learning model training, collaborating across large engineering groups to deliver high-quality results.

The role emphasizes learning the autonomous driving stack, simulation tools, and RL model training, with a focus on developer experience and cross-team coordination.

Qualifications

  • BS, MS, or PhD in Computer Science, Robotics, Machine Learning or equivalent experience.
  • 5+ years relevant industry experience.
  • Strong programming skills in C++ and Python.
  • Clear track record of effective collaboration with customers and continuous delivery of quality results in a hybrid or remote workplace.
  • Passion for safe, fully-electric, self-driving technology and its impact on the world.

Responsibilities

  • Develop simulation frameworks for high-fidelity, high-performance validation of the autonomy stack.
  • Build and maintain the gym environment for reinforcement learning model training.
  • Collaborate across large engineering organizations to deliver quality results.

Skills

C++
Python
Collaboration
Self-driving tech passion

Education

BS/MS/PhD in CS/Robotics/ML

Tools

Unity
Unreal Engine
PhysX

Job description

General Motors in Sunnyvale, CA is seeking a software engineer for the Simulation Engine team. You will drive development of simulation frameworks for validating the autonomy stack and the gym environment for reinforcement learning model training, collaborating across large engineering groups to deliver high-quality results.

The role emphasizes learning the autonomous driving stack, simulation tools, and RL model training, with a focus on developer experience and cross-team coordination.

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