Descrição
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
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.