Senior Software Engineer - Simulation - SimCore

generalmotors; Sunnyvale (CA); Hybrid; USD 148,000 - 226,000; Full time

Job summary

General Motors in Sunnyvale, CA is seeking a software engineer for the SimCore team to drive simulation scenarios and the RL gym environment for autonomous driving validation.

The role emphasizes high code quality, collaboration across large engineering organizations, and delivering a great developer experience while learning GM's autonomous driving stack.

Strong C++ and Python skills, 5+ years, and a passion for safe, fully-electric self-driving tech are essential.

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.

Skills

C++

Python

Collaboration

Hybrid work

Self-driving passion

Education

CS/Robotics/ML degree

Tools

Unity

Unreal Engine

PhysX

Gym

LLM

Job description

Job Description

Description

The Simulation group is solving one of self-driving's most difficult problems: evaluating the performance of the autonomous driving software stack before it reaches public roads.

As a software engineer on the SimCore team, you will drive the development of our simulation scenarios that enable high-fidelity and high-performance validation of the autonomy stack, as well as the gym environment for reinforcement learning model training. We are looking for an engineer passionate about providing the best developer experience, and who can effectively drive collaborations across large engineering organizations. This role will lead you to learn the ins and outs of our autonomous driving software stack, simulation frameworks, and RL model training.

Required Skills

• 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. Comfortable collaborating across large engineering organizations.
• Passion for safe, fully-electric, self-driving technology and its impact on the world

Desired Skills

• Experience with building or extending AV/Robotic simulation
• Experience working on game engines such as Unity, Unreal Engine, or PhysX.
• Experience with reinforcement learning, gym environment, or LLM.
• Strong programming skills in modern C++ and Object-oriented Design.

Compensation:

• The expected base compensation for this role is: $148,000 - $226,200. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.
• Bonus Potential:An incentive pay program offers payouts based on company performance, job level, and individual performance.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being - at work and at home - so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

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