描述
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The successful candidate will lead development and application of Safety of the Intended Functionality methods for ADAS features (L0-L2/L2++), partnering across the engineering organization to ensure safe feature behavior from concept through validation. This work directly supports GM’s broader system safety goals for advanced vehicle technologies and requires balancing safety, availability, and feature performance across complex sensing, compute, and control architectures.
We are looking for a highly energetic and creative thinker who can apply systems-level thinking, work effectively across software, hardware, systems, and validation teams, and help strengthen GM’s approach to SOTIF for next-generation ADAS features.
What You'll Do
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Lead SOTIF activities for ADAS features, including identification of triggering conditions, unknown unsafe scenarios, performance limitations, and scenario-based risk reduction strategies.
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Analyze perception, fusion, planning, and controls failure modes such as false positives, false negatives, degraded sensor behavior, calibration drift, and planner instability.
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Partner with ADAS feature engineers to align SOTIF work products with hazard analysis, safety concepts, safety requirements, and end-to-end traceability.
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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.
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Develop clear technical recommendations that balance safety, availability, customer experience, and program timing for ADAS features.
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Collaborate across perception, fusion, controls, systems, hardware, software, validation, and vehicle integration teams to deliver robust feature behavior and on-time safety content.
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Support audits, assessments, reviews, and safety case activities by preparing clear technical documentation, evidence, and rationale for SOTIF-related decisions.
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Contribute to continuous improvement of SOTIF methods, templates, scenario taxonomies, and best practices for ADAS and automated driving technologies.
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Collaborate with R&D to develop tools for SOTIF based scenarios generation
Required Qualifications
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Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Systems Engineering, or a related engineering field.
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5 - 7+ years of experience in systems engineering, system safety, ADAS, autonomous driving, robotics, or another safety-critical technical domain.
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Strong understanding of ISO 21448 (SOTIF) and working knowledge of ISO 26262 and related safety processes.
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Ability to understand complex technical systems and apply structured engineering judgment to ambiguous problems.
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Strong technical leadership, communication, and collaboration skills in a cross-functional environment.
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Experience defining or supporting validation plans and using data to evaluate system behavior and residual risk.
Preferred Qualifications
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Advanced degree in Engineering or a related technical field.
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Experience with ADAS features such as AEB, ACC, LKA, ALKS, Park Assist, or similar driver assistance functions.
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Experience with object sensing technologies including camera, radar, lidar, ultrasonic sensing, and sensor fusion.
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Familiarity with ADAS compute platforms, ECU/SoC architectures, AUTOSAR, QNX, POSIX RTOS, hypervisors, or safety partitioning concepts.
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Hands-on experience with safety and analysis methods such as FTA, FMEA, FMEDA, STPA, or related techniques.
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Experience with requirements and traceability tools such as DOORS, DNG, Jama, Medini, or similar toolchains.
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Experience in scenario-based validation, edge-case mining, KPI development, and data-driven evaluation for perception-based features.
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Experience supporting external audits, assessments, or safety case reviews for ADAS or automated driving systems.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.