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Senior ADAS Systems Safety Engineer – SOTIF
General MotorsLead SOTIF activities for ADAS features at General Motors focusing on safety and technical performance. Collaborate with cross-functional teams to ensure safe feature behavior.
Tech Stack
Tools & technologiesRTOS
About the role
Key responsibilities & impact- Lead SOTIF activities for ADAS features, including identification of triggering conditions, unknown unsafe scenarios, performance limitations, and scenario-based risk reduction strategies.
- Analyze perception, fusion, planning, and controls failure modes such as false positives, false negatives, degraded sensor behavior, calibration drift, and planner instability.
- Partner with ADAS feature engineers to align SOTIF work products with hazard analysis, safety concepts, safety requirements, and end-to-end traceability.
- Define and support validation and verification strategies across SIL, MIL, HIL, vehicle, and scenario-based testing, including boundary conditions, regression coverage, and edge-case evaluation.
- Develop clear technical recommendations that balance safety, availability, customer experience, and program timing for ADAS features.
- Collaborate across perception, fusion, controls, systems, hardware, software, validation, and vehicle integration teams to deliver robust feature behavior and on-time safety content.
- Support audits, assessments, reviews, and safety case activities by preparing clear technical documentation, evidence, and rationale for SOTIF-related decisions.
- Contribute to continuous improvement of SOTIF methods, templates, scenario taxonomies, and best practices for ADAS and automated driving technologies.
- Collaborate with R&D to develop tools for SOTIF based scenarios generation.
Requirements
What you’ll need- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Systems Engineering, or a related engineering field.
- 5 - 7+ years of experience in systems engineering, system safety, ADAS, autonomous driving, robotics, or another safety-critical technical domain.
- Strong understanding of ISO 21448 (SOTIF) and working knowledge of ISO 26262 and related safety processes.
- Ability to understand complex technical systems and apply structured engineering judgment to ambiguous problems.
- Strong technical leadership, communication, and collaboration skills in a cross-functional environment.
- Experience defining or supporting validation plans and using data to evaluate system behavior and residual risk.
- Advanced degree in Engineering or a related technical field preferred.
- Experience with ADAS features such as AEB, ACC, LKA, ALKS, Park Assist, or similar driver assistance functions.
- Experience with object sensing technologies including camera, radar, lidar, ultrasonic sensing, and sensor fusion.
- Familiarity with ADAS compute platforms, ECU/SoC architectures, AUTOSAR, QNX, POSIX RTOS, hypervisors, or safety partitioning concepts.
- Hands-on experience with safety and analysis methods such as FTA, FMEA, FMEDA, STPA, or related techniques.
- Experience with requirements and traceability tools such as DOORS, DNG, Jama, Medini, or similar toolchains.
- Experience in scenario-based validation, edge-case mining, KPI development, and data-driven evaluation for perception-based features.
- Experience supporting external audits, assessments, or safety case reviews for ADAS or automated driving systems.
Benefits
Comp & perks- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
ATS Keywords
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Hard Skills & Tools
SOTIFADASsystems engineeringvalidation planssafety analysis methodsobject sensing technologiesscenario-based validationKPI developmentsensor fusionsafety partitioning
Soft Skills
technical leadershipcommunicationcollaborationstructured engineering judgmentcross-functional teamwork