Manager, Software Engineer - Behavior Testing

Description
Job Description
Remote: This role is open to a fully remote position or hybrid with one of our offices if preferred.
Role Overview:
We are seeking a highly experienced and technically adept Manager to join our Simulation Test Engineering team within the Simulation and Testing organization. In this role, you will be instrumental in shaping the future of autonomous vehicle development by leading a team building the software infrastructure responsible for scaling the creation, validation, and maintenance of our end-to-end simulation tests. You will manage software engineers, set best practices, and steer the technical vision of simulation testing automation. Your contributions will enable the development and validation of the autonomous vehicle software stack.
About the Team:
The Simulation Test Engineering group accelerates autonomous vehicle (AV) development, validation, and deployment by delivering scalable testing pipelines and products. Our mission is to provide precise, reliable, and automated simulation-based testing that enables data-driven decisions and ensures the safety and performance of AV software.
Why Join Us?

• Shape the future of AV simulation and testing by driving the adoption of AI and automation.

• Work with cutting-edge technology and a collaborative, high-impact team.

• Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

What You'll Do:

• Manage an interdisciplinary team of software engineers building simulation test automation applications and infrastructure

• Raise the software engineering bar of the team: set best practices, give feedback, and provide mentorship.

• Drive the technical vision of scaling the management of simulation tests through their entire lifecycle, working with senior leadership and members of your team

• Define the project roadmap, set development priorities, and align the team's work with company objectives and product milestones.

• Collaborate cross-functionally with teams involved in autonomous system development and validation to ensure our simulation testing infrastructure goals meet requirements and scaling needs

• Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles.

What You Must Have:

• BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.

• Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence.

• Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement.

• Track record delivering scalable software solutions to a production environment using Python.

• Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.

• Strong organizational, communication, and people leadership skills.

Bonus Points

• A background in robotics, ROS, or the AV/ADAS industry.

• Direct experience leveraging LLMs/VLMs/etc. for production workflows.

• Experience with developing or integrating complex simulation for testing and validation use cases.

• Experience with building high quality dev productivity tools.

• Experience developing or working with safety-critical code.

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.
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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