Description
The Role
You will be part of a team that drives systematic and data-driven improvements to autonomous vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation. We are looking for a highly motivated individual with excellent analytical skills to own end-to-end execution, improve evaluation methodologies, and communicate insights that establish confidence in the quality of our end-to-end ML stack.
In this position, you will work closely with AI/ML engineers, simulation engineers, systems engineers, and data partners to identify, analyze, monitor, and prioritize the signals used to assess performance. You will leverage simulation and on-road data to build scalable processes for evaluating coverage, metrics, uncertainty, and validation confidence.
If you are interested in having a major impact on accelerating validation confidence for ML-driven autonomy through creative problem solving, let’s chat!
What you’ll be doing
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Define AV evaluation and validation processes from initial concept through implementation, including test-framework requirements, scenario and test-suite design, coverage, metrics, and the evidence needed to assess confidence in system performance.
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Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis.
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Provide hands-on implementation of infrastructure and data solutions to assess confidence in AV performance using simulation and on-road data.
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Develop and apply methods to evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results.
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Proactively scope and identify metrics, sampling approaches, and analytical methods needed to improve evaluation workflows and close gaps in evidence.
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Contribute to automated triage and root-cause analysis strategies for AV deficiencies, regressions, and uncertainty in an end-to-end stack.
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Articulate insights, summaries, limitations, and recommendations to engineers, technical leaders, and other stakeholders based on continuous analysis of AV performance.
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Define and maintain scalable processes to identify, monitor, and improve evaluation KPIs and confidence measures.
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Help connect continuous-improvement activities to the evidence needed to support safety, systems, and downstream readiness decisions.
What you must have
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Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools.
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Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems.
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Experience with GitHub, Jira, or equivalent tools.
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Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome.
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A track record of analytical and systems-engineering work involving complex software/hardware systems or ambiguous AI functions.
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Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data.
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Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment.
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Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership.
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Bachelor’s, master’s, or doctoral degree in engineering, physics, applied mathematics, statistics, data science, or a related discipline, or an equivalent combination of education and experience.
Bonus points!
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Experience with autonomous vehicles, ADAS, robotics, or production-grade robotic systems.
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Hands-on experience with simulation environments, scenario generation, large-scale test execution, or analysis of simulation results.
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Experience with statistical methods for product evaluation, risk assessment, sampling, or confidence analysis.
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Experience developing data-driven metrics, scorecards, coverage measures, or regression-detection methods.
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Experience with verification and validation, simulation-to-real-world correlation, test automation, or large-scale evaluation systems.
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Passion for understanding complex robotics and AI systems and turning their behavior into measurable evidence.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
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.