General Motors Autonomous Vehicle System Safety Engineer: Vehicle Health Management (VHM) - Minimal Risk Assessment (MRA) - ENG0038631 in Warren, Michigan

This positionis responsible for performing analysis and executing tasks related toperforming assessments of system and vehicle-level health for GM autonomousvehicles. This includes performing systems and vehicle-level analysis toidentify impacts of failure mode(s) on vehicle-level operation, capabilitiesand resulting vehicle safe states.

Responsibilities:

·Identify hazards that are both functional safety and SOTIFrelevant

·Define VHM safety goals and vehicle level VHM safety requirements

·Perform Minimal Risk Assessment of every malfunction in thevehicle and assign the appropriate vehicle action

·Define vehicle safe states and transitional guidelines

·Apply functional interface analysis at a vehicle level tounderstand the safety critical interactions between the actuators, sensors,communication paths, computers, to identify safety critical malfunctions anddefine the safe state transitional requirements

·Apply STPA causal factor analysis to define SOTIF safetyvalidation criteria during fail-operational behavior

·Effectively manage the safety requirements traceability matrix andwork effectively with the design, implementation, performance, validation andservice team member to validate VHM functional safety and SOTIF requirements

·Work cross functionally to develop safety requirements/criteria,validation plans, procedures and execute the functional safety and SOTIFprocess

·Work closely with systems engineering and validation to definesafety criteria for VHM-related SOTIF test cases

·Work closely with R&D and modeling and simulation groups tomodel the VHM MRA

·Bachelor degree in engineering or math with post-graduateeducation in engineering and/or computer science preferred

·3+ years of demonstrated experience required and execution ofresponsibilities related to system safety, systems engineering, programming,validation and/or vehicle development; 5 years strongly preferred

·Candidates must have engineering, math, computer science orbiomedical sciences background or equivalent

·Solid understanding and experience of active safety features thatinvolve automated braking, steering, propulsion and parking

·Knowledge and experience with object detection and path predictionsensor technologies and the environmental limitation of the sensor technologies

·Experience in and knowledge of functional safety and SOTIF processespreferred

·Good project management and organization skills

·Good understanding of system safety and systems engineering

·Good verbal and written communication skills

·This position requires legally operating a motor vehicle on adaily basis