Senior Simulation Engineer - Remote Autonomy & RL

General Motors Company; Sunnyvale (CA); On-site; USD 148,000 - 226,000; Full time

Benefits offered by this job

Health, dental, vision coverage

HSA/FSA accounts

Retirement savings plan

Paid vacation & holidays

Tuition assistance programs

Employee assistance program

GM vehicle discounts

Job summary

General Motors Company is seeking an experienced Software Engineer for the Simulation Engine team in Sunnyvale, CA. You will drive the development of our simulation frameworks that enable high-fidelity validation of the autonomy stack and provide a robust gym environment for RL model training.

You will collaborate across large engineering organizations, contribute to developer experience, and learn the ins and outs of the autonomous driving software stack, simulation tools, and RL workflows.

Qualifications

• BS/MS/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 validation of the autonomy stack.
• Create gym environment for reinforcement learning model training.
• Drive developer experience and collaborate across large engineering organizations.
• Learn the autonomous driving software stack, simulation frameworks, and RL workflows.

Skills

Advanced degree in CS/Robotics/ML

5+ years experience

C++

Python

Collaborative in hybrid/remote

Passion for safe EV self-driving tech

Education

BS/MS/PhD in Computer Science, Robotics, ML

Tools

Unity

Unreal Engine

PhysX

Job description

General Motors Company is seeking an experienced Software Engineer for the Simulation Engine team in Sunnyvale, CA. You will drive the development of our simulation frameworks that enable high-fidelity validation of the autonomy stack and provide a robust gym environment for RL model training.

You will collaborate across large engineering organizations, contribute to developer experience, and learn the ins and outs of the autonomous driving software stack, simulation tools, and RL workflows.