General Motors

Lead a talented team of data scientists who will drive design, development, and deployment of autonomous vehicle performance KPIs ranging from straightforward to advanced machine learning outputs. Part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department, this position serves as the central body for automated driving system (ADS) safety. The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve.

As the AI Safety Principal Engineer, you will be a technical leader with extensive experience in the full end to end development lifecycle for artificial intelligence & machine learning. Guide the develop of GM’s AI safety strategy, stay current on industry best practices and standards. This role requires extensive programming and statistical techniques to solve complex problems and provide safety guidance to the engineering development teams that are focused on AI/ML.

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of the Global Product Safety, System, and Certification (GPSSC) organization at GM, serving as the central body for automated driving system (ADS) safety. As the AV Safety Case Lead, you will report directly to the head of AV Safety Strategy and Assessment and lead this effort across GM, engage with regulatory bodies, and external consultants to develop, deliver and continuously improve the safety case.