Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles
$184k - $357k • Remote • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking a creative and expert Systems Engineer to join its Automotive Vehicles team and contribute to the expansion of NVIDIA's autonomous vehicle solutions. This role involves a focused effort on productizing groundbreaking perception solutions that will redefine transportation and the self-driving car industry. You will collaborate with a global team of systems engineers, AI applied researchers, and software engineers to build world-class perception, mapping, and localization solutions, ensuring adherence to all NVIDIA and automotive standards and guidelines. The work is described as exciting, fun, and relevant, offering an opportunity to make a lasting impact.
Responsibilities
- Develop perception, mapping, and localization system requirements from use cases and customer needs.
- Perform analysis to define performance requirements and allocate performance budgets.
- Plan validation strategies and formulate test cases and critical metrics to ensure requirement compliance.
- Test performance and triage results.
- Perform detailed analysis and develop dashboards.
- Collaborate closely with hardware engineering, safety, developers, and product teams to ensure product development aligns with needs.
- Identify and implement innovative solutions to continuously improve processes.
- Establish and maintain relationships with relevant partners across the organization.
Requirements
- MS or PhD in Engineering, Physics, Computer Science, Data Science, or a related field (or equivalent experience).
- 8+ years of systems engineering experience on complex systems, including systems analysis (e.g., error budget creation, scenario modeling), data analysis, and statistical analysis.
- Experience with verification and validation of world model stacks.
- Experience with VLMs, LLMs, and agentic workflows for automated triage.
- Experience with data strategy definition.
- Understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition.
- Strong leadership and interpersonal skills with the ability to drive alignment across large organizations.
- Proficiency in SQL and Python or C++.
Benefits
- Equity
- Benefits