Sr Manager AV Safety
Job Summary
As a Senior Manager for AV Behavior Safety Engineering, you will lead the strategy for defining, measuring, and validating the safety of SAE Level 3-4 Automated Driving Systems. You will oversee the end-to-end safety validation methodology, ensuring AI-driven models meet rigorous performance criteria and safety standards. This role involves leading a high-performing team to shape the future of automated driving through technical leadership and cross-functional collaboration.
Responsibilities
- Define AV safety strategy and validation methodologies.
- Manage the ADS Safety Case and behavior performance indicators.
- Collaborate across AI, simulation, and validation teams.
- Lead and mentor a high-performing engineering team.
Required Skills
- Expertise in AV safety standards (ISO 21448, ISO 5083).
- Deep experience in machine learning and AV behavior development.
- Strong technical leadership and team management.
- Proficiency in Python and AI/ML frameworks.
Job Details
### Core Responsibilities
- **Technical Leadership:** Interpret and apply standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define safety strategies for autonomous system development, validation, and deployment.
- **Safety Case Management:** Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and evidence for AV behavior safety performance.
- **Methodology Development:** Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define end-to-end AV behavior validation methodology for AI-driven systems.
- **Strategy Execution:** Systematically break down Operational Design Domains (ODDs) and define validation strategies per behavior. Support the development of Safety Performance Indicators (SPIs).
- **Performance Assessment:** Assess AV performance using simulation, closed-course, and public-road data to provide prioritized feedback to engineering teams.
- **Team Leadership:** Hire, lead, and develop a high-performing AV behavior safety engineering team, providing mentorship and setting clear technical goals.
### Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- 8+ years of experience in machine learning, engineering, or data science.
- 8+ years in autonomous vehicle or robotics development.
- Demonstrated experience working on production-intent AV programs.
- Proven technical safety leadership in AV development (safety strategies, risk assessments, validation, safety case).
- Deep understanding of AV behavior development: ODD definition, evaluation criteria, and test data analysis.
- Proficiency in applying AV safety standards (ISO 5083, ISO 21448/SOTIF).
- Excellent communication skills to explain complex technical tradeoffs to stakeholders.
- 3+ years of people leadership experience.
- Must be a U.S. Person due to export control restrictions.
### Preferred Qualifications
- Master's Degree in Computer Science, Engineering, Mathematics or related field.
- Programming: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, SQL.
- AI/ML Expertise: LLMs, Generative AI, RAG, Deep learning, Reinforcement Learning, NLP.
- Cloud: Microsoft Azure (preferred), AWS, or GCP.
- MLOps & Tools: MLflow, Docker, Kubernetes, GitHub, Jira.
- Visualization: Tableau, PowerBI.