Senior Software Systems Engineer, L3 and L4 - Autonomous Driving
AI summary of the role
This role develops system requirements, performance budgets, and test strategies for L3/L4 autonomous driving products at NVIDIA.
What you’ll do
- 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.
- 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 to ensure datasets cover sufficient scenarios and requirements.
What you’ll bring
- 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.
- Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.
- Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.
Technologies
SOTIF · ISO 21448 · ISO 26262 · Python · SQL · C++ · deep learning · perception/planning stacks · data analytics
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world. What you’ll be doing: 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
More from the job description
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world. What you’ll be doing: 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 [... source excerpt omitted ...] alytics, 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. What we need to see: To succeed in this role, you should have: MS or PhD in Engineering, Physics, Comput [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, nat
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