Staff ADAS System Safety Engineer – Sensing/Perception – ADAS Sensors & Controllers
| Company | General Motors |
|---|---|
| Location | Warren, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor of Science degree in Engineering, Computer Science, Physics or related area of expertise
- 7+ years of engineering experience in product development with safety critical systems or related area of expertise
- Ability to understand complex technical systems
- Strong project management skills
- Ability to provide technical leadership and mentorship to diverse global teams
- Hands-on experience with hazard analysis, Fault Tree Analysis (FTA), software safety analysis, and other safety analysis tools and techniques
- Familiarity with ISO 26262 and other functional safety standards such as IEC 61508, IEC 62304, or DO-178C
- Understanding of applicable standards to this role such as ISO 21448, and UL 4600 etc.
- Understanding of emerging standards of ISO 8800 AI/ML (Road vehicles — Safety and artificial intelligence) and ISO/TS 5083 (Road vehicles — Safety for automated driving systems — Design, verification and validation)
- Understanding of fundamentals of Semiconductor and SoC (System on Chip)
- Travel as required (<10%) domestic
Responsibilities
- Lead a technical team of ADAS System Safety Engineers (Sensing/Perception, ADAS Sensors, ADAS Controllers) to develop systems safety analysis, hazard identification, and risk mitigations using both qualitative and quantitative methods align with GM System Safety Process and ISO26262
- Lead System Safety strategy developments on new content to deploy safety strategies that balance System Safety with feature availability & performance
- Lead application of agile methodologies to internal Safety Case work partnering closely with cross-functional teams
- Support Safety of the Intended Functionality (SOTIF) approaches for new feature development
- Employ varied analysis techniques including hazard analysis, SEFA, STPA, fault tree analysis, interface analysis, FMEA, software safety analysis etc. within responsible scope
- Collaborate with product engineering, software engineering, development, verification, and validation teams to ensure consistent and sufficient safety strategy implementations across ADAS features
- Guide development of external suppliers to facilitate timely delivery of safety critical system content
- Stay abreast of new technology and safety analysis techniques
- Mentor & develop internal and external organizational partners (including global teams) on safety critical system and process-specific knowledge
Preferred Qualifications
- Master’s Degree in Engineering, Physics, or Computer Science
- 10+ or more years of engineering experience with systems safety analysis, systems, or active safety features including Human machine interactions
- Experience with Object Sensing technologies (camera, radar, lidar), sensor rationalization schemes and related limitations
- Experience working with safety diagnostic monitors
- Software design, analysis, development, validation
- Machine learning, simulation methods and data acquisition
- Knowledge of AI/ML
- DFSS Black Belt