
10,000+ employees
Founded 1908
🚗 Transport
⚡ Energy
🏢 Enterprise
💰 $500M Grant on 2024-07
Transport • Energy • Enterprise
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
🕒 March 23
🇺🇸 United States – Remote
💵 $185.1k - $284.1k / year
⏰ Full Time
🟠 Senior
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1908
🚗 Transport
⚡ Energy
🏢 Enterprise
💰 $500M Grant on 2024-07
Transport • Energy • Enterprise
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
• 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.
• 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.
• 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.
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