[Remote] Senior Software Systems Engineer, L3 and L4 - Autonomous Driving
Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in AI technology, seeking a Senior Software Systems Engineer to work on L3 and L4 autonomous driving products. The role involves developing use cases, performing system-level analysis, and driving innovation in systems engineering processes.
Responsibilities
- 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
Skills
- 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
- Experience contributing to a launched L3/L4 autonomous vehicle program
- Experience in AI safety and safety validation for ML-based systems
- Hands-on experience with large-scale datasets, data science, and analytics workflows
- Strong software engineering experience with proficiency in Python, SQL, and C++
Benefits
- Equity
- Benefits
Company Overview
Company H1B Sponsorship