NVIDIA

Compensation

Full Description

Job Description: • Develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines • Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems • Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements • Define and drive online and offline test strategy and execution at both vehicle and component levels • Partner closely with Data Analytics, Test Engineering, and System Integration & Test teams • Ensure the right evaluators and important metrics are developed • Prove that datasets cover sufficient scenarios and requirements • Target appropriate sampling strategies through Data Collection and Real-World Driving • Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams • Drive innovation in requirements decomposition, traceability, and verification processes • Promote and cultivate a strong systems engineering approach across the organization Requirements: • MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience) • 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture • Strong software development background with proven coding skills • Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis • Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations • Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies Benefits: • equity • benefits