NVIDIA is looking to solve the problem of demonstrating the sufficiency of on-road and offline testing for safety and security solutions within their engineering teams by leveraging data analytics. This involves analyzing naturalistic driving data, identifying coverage gaps, and creating tools to track testing progress and trends.
Requirements
- Strong background in python and SQL or similar languages while working with large datasets
- Previous experience in data or statistical analysis
- Have a track record of building scalable data pipelines and analytics platforms.
- A background of 2+ years in autonomous vehicle validation or development.
Responsibilities
- Developing methodologies and tooling to demonstrate the sufficiency of on-road and offline testing.
- Performing analyses measuring exposure rates of objects, events and environments in naturalistic driving data.
- Working jointly with test engineers, developers, and other team members to identify and close coverage gaps.
- Automating workflows and reports to support a growing number of product releases and deployments.
- Creating dashboards and visualization tools to track testing coverage and identify trends.
- Develop and share standard methodologies in analytics and data driven validation with colleagues.
Other
- 8+ years of experience
- Excellent problem solving skills and attention to detail
- Strong communication skills with the ability to convey data meaningfully to drive decisions
- Applications for this job will be accepted at least until September 20, 2025.
- 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
