Sr Staff AV Behavior Safety Engineer (GPSSC)

Job Description

Sr Staff AV Behavior Safety Engineer 

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies. 

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision. 
 

As a Sr Staff AV Behavior Safety Engineer, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Behavior Safety organization and directly influence launch decisions for GM’s next generation of automated driving products. 

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving. 

The Role 

The AV Behavior Safety Engineering team is seeking a hands‑on engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation. 

You will: 

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment 

• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance. 

• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems. 

• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate. 

• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.  This includes supporting development of safety performance indicators (SPIs) for AV behaviors. 

• Assess AV performance across safety and reliability dimensions using simulation, closed‑course,