Staff AV Behavior Safety Engineering Lead

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $185.1k - $284.1k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

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.

📋 Description

• Lead the strategy and support execution for defining, measuring, and validating safety of SAE Level 3–4 automated driving systems powered by machine-learned models • Own AI and autonomous vehicle behavior safety strategy for next-generation ADS architectures • Design and implement AI safety strategies for imitation learning and reinforcement learning models • Own the behavior-focused portion of the ADS safety case, including claims, sufficiency criteria, and recommended evidence • Collaborate with Software Validation, Embodied AI, Simulation, Safety Metrics, and vehicle program teams • Define end-to-end autonomous vehicle behavior validation and AI safety methodology • Collaborate on evaluation metrics, human benchmarks, and safety launch targets • Develop safety performance indicators for autonomous vehicle behaviors • Develop metrics across the machine learning model development lifecycle • Interpret ISO/PAS 8800, ISO 21448 (SOTIF), ISO 5083, and AVSC best practices • Assess autonomous vehicle performance using simulation, closed-course, and public-road data • Provide prioritized feedback to engineering teams • Define and run an assurance process to verify sufficiency criteria and safety targets for launch readiness • Report to the AV Safety Strategy and Assurance organization and influence launch decisions for next-generation automated driving products

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field • 7+ years of experience in machine learning, engineering, data science, or a related field • 7+ years of experience in autonomous vehicle or robotics development or a related field • Experience working on production-intent autonomous vehicle programs • Technical safety leadership in autonomous vehicle development, including safety strategies, risk assessments, validation methodologies, or safety case contributions • Deep understanding of autonomous vehicle behavior development, including ODDs, behaviors, evaluation criteria, and analysis of simulation, closed-course, and public-road test data • Experience with machine learning model evaluation methodologies and machine learning model development lifecycle • Experience applying AV safety standards and best practices, including ISO/PAS 8800, ISO 5083, ISO 21448 (SOTIF), and AVSC practices • Excellent communication and storytelling skills, including explaining complex technical tradeoffs to executives and non-technical stakeholders • Ability to influence cross-functional teams without direct authority • Problem-solving mindset, comfort with ambiguity, and proactive approach to learning and continuous improvement • Preferred: Master's degree in Computer Science, Engineering, Mathematics, or a related field • Preferred: Experience with LLMs, Generative AI, deep learning, imitation learning, and reinforcement learning • Preferred: Google Cloud Platform, BigQuery, and Dataflow • Preferred: MLflow, model monitoring and versioning, GitHub, and Jira

🏖️ Benefits

• Bonus potential through an incentive pay program based on company performance, job level, and individual performance • Medical, dental, and vision benefits • Health Savings Account • Flexible Spending Accounts • Retirement savings plan • Sickness and accident benefits • Life insurance • Paid vacation and holidays • Tuition assistance programs • Employee assistance program • GM vehicle discounts • Company vehicle evaluation program, subject to motor vehicle report review • Remote work arrangement • Travel under 25%

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