General Motors
This role involves architecting and implementing metrics and analyses to evaluate the performance of autonomous driving software across the autonomy stack. The position requires designing analysis algorithms, developing statistical and ML methods, and building dashboards to provide clear insights for development and leadership. The engineer will also leverage AI models to classify performance and prioritize validation efforts while maintaining high technical standards.
General Motors is a global automotive company and the parent of Chevrolet, Buick, GMC and Cadillac, designing, engineering and manufacturing a full range of cars, trucks and SUVs. Beyond vehicles, GM provides connected and mobility services—such as OnStar and GM Energy—and invests in vehicle safety, autonomous driving and other advanced engineering. The company is pursuing electrification and sustainability through initiatives like its Journey to Zero Emissions while supporting communities and workforce development. For more than a century GM emphasizes quality, reliability and delivering a vehicle for every drive.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for General Motors.
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