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Manager, Software Engineer - Behavior Testing

Jobs via Dice, Sunnyvale, California, United States, 94087

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Manager, Software Engineer - Behavior Testing

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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.

Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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.

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