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

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

Senior Software Systems Engineer, L3 and L4 – Autonomous Driving

Key skills