NVIDIA is seeking an experienced professional to develop test strategies and use cases for L3 and L4 autonomous driving products. The role involves close collaboration with various stakeholders to define key performance indicators and evaluate product progress. The successful candidate will lead vehicle integration and retrofitting efforts, ensuring compliance with safety and functional requirements. This position offers the opportunity to work in a dynamic environment focused on innovation and excellence in autonomous technology.

• MS or PhD in Engineering, Physics, Computer Science, or a related field or equivalent experience.
• 12+ years of proven experience in ADAS, system analysis, data analysis, and software architecture.
• Experience driving the mass-production launch of autonomous driving products, including supervised FSD, urban NOA, or equivalent features.
• Proficiency in programming languages commonly used in AV development and testing, such as Python and C++.
• Familiarity with data query and analysis tools.
• Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies.
• 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 and classical modular perception/planning stacks.
• Deep understanding of autonomous vehicle sensor suites and their specific failure modes, edge cases, and validation requirements.

• Develop test strategy and use cases/scenarios for L3 and L4 autonomous driving products based on customer needs and industry guidelines.
• Define test strategy and execution plan on vehicle platform.
• Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.
• Collaborate with different stakeholders to define KPIs and evaluate product progress using test data/results.
• Establish strong multi-functional relationships with collaborators across engineering, safety, and product teams.
• Scale and innovate the product ODDs by designing campaigns and roadmap.
• Lead L3/L4 vehicle integration and retrofitting, managing end-to-end processes to advance testing and validation schedules.
• Spearhead data triage and root cause analysis, driving issue resolution and generating comprehensive test reports.
• Promote and cultivate a strong systems engineering approach across the organization.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.