描述
Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum.
The Role
The AV Safety Data Analytics team is building the next generation of quantitative safety modeling capabilities for automated driving systems. We are seeking a Safety Modeling Engineer to lead development of driver behavior models that establish human performance benchmarks and support safety evaluation.
In this role, you will integrate domain expertise to design and build statistical and machine learning models using large-scale real and simulated driving datasets to represent human driving behavior in safety-critical scenarios. You will define behavioral benchmarks, contribute to safety performance metrics, and integrate these models into evaluation pipelines used to support safety assessments and decision making across ADS programs.
This role requires strong analytical skills, modeling intuition, and practical judgment. You will shape how human reference behavior is represented and used across automated driving safety programs.
What You’ll Do
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Develop driver behavior models representing human response in safety-critical scenarios
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Build statistical and machine learning models using large-scale driving and simulation datasets
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Analyze data to derive behavioral benchmarks and safety performance metrics
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Build scalable modeling pipelines and data workflows
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Partner with cross-functional teams to translate modeling results into safety evaluation methods
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Contribute to safety assessments and safety case evidence
Your Skills & Abilities (Required Qualifications)
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Bachelor’s or higher degree in Engineering, Data Science, Applied Mathematics, Physics, Computer Science, or related field
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7+ years in human performance and capabilities, perception, response and behaviors.
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Strong proficiency in Python and SQL and data visualization
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Dev Ops and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform
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Experience working with perception, planning and control output
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Experience developing statistical or machine learning models using large datasets
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Experience with behavioral modeling, human performance analysis, or simulation-based analytics
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Demonstrated ability to analyze cross-disciplinary problems and propose practical modeling solutions
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Strong analytical and problem-solving skills
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Ability to communicate technical results to cross-functional stakeholders
What Will Give You A Competitive Edge (Preferred Qualifications)
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Master’s or Ph.D. in a relevant technical field
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Relevant publication
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10+ years in human performance and capabilities, perception, response and behaviors.
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Experience with driver behavior modeling or human performance benchmarking
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Experience with causal inference or counterfactual modeling techniques
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Familiarity with simulation-based evaluation or scenario analysis
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Experience working with cloud or distributed data platforms
Impact
Your work will define how human driver behavior is modeled and used as a reference for automated driving safety, directly influencing safety benchmarks, evaluation methods, and product decision making.
“Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
#LI-SA2
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.