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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Systems Engineer, L3 and L4... - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Big Data, C++ (Programming Language), Desktop Computing, Systems Analysis, Python (Programming Language), Software Architecture, Software Safety, Software Engineering, Software Requirements Analysis, Software Systems, SQL Databases, Systems Integration, Strategies of Testing, Safety Critical Systems, Deep Learning, Information Technology, Data Analytics, Software Coding - **Published:** July 16, 2026 - **Apply:** https://www.juju.com/job/00000000gglxlb ## About the Role + 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. Ways to Stand Out from the crowd: + 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++. ## 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 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. ## Related Videos - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)