Senior Staff AV Behavior Safety Engineer

🕒 Março 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $185.100 - $284.100 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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General Motors

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1908

🚗 Transporte

⚡ Energia

🏢 Corporativo

💰 $500.000.000 Grant em 2024-07

Transport • Energy • Enterprise

A visão da General Motors é criar um mundo com Zero Acidentes, Zero Emissões e Zero Congestionamentos, e estamos comprometidos em liderar o caminho rumo a esse futuro. Hoje, estamos no meio de uma revolução no transporte e temos a ambição, o talento e a tecnologia para concretizar o mundo mais seguro, melhor e mais sustentável que desejamos. Como uma empresa aberta e inclusiva, também estamos criando um ambiente em que todos se sintam acolhidos e valorizados por quem são. Um único time, no qual todas as ideias são consideradas e ouvidas, onde todos podem contribuir ao máximo de seu potencial, com uma cultura baseada em respeito, integridade, responsabilidade e igualdade. Nossa equipe reúne perspectivas e experiências diversas para solucionar os complexos desafios de transporte de hoje e de amanhã.

Descrição

• Lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine-learned models. • Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance. • Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end-to-end AV behavior validation methodology for AI-driven systems. • Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate. • Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance. This includes supporting development of safety performance indicators (SPIs) for AV behaviors. • Assess AV performance across safety and reliability dimensions using simulation, closed-course, and public-road data and provide clear, prioritized feedback to engineering teams. • Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness.

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field • 6+ years of experience in machine learning, engineering, data science, or a related field • 6+ years in autonomous vehicle or robotics development or related field • Demonstrated experience working on production-intent AV programs • Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions). • Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed-course, and public-road test data; and generating prioritized, actionable recommendations for developers. • Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices.

🏖️ Benefícios

• 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. • Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though 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.