1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and build accurate, robust solutions for map-enhanced autonomous driving with ASIL safety requirements.
- Localize vehicles to navigation and crowdsourced map data to create precise environmental models beyond the perception horizon.
- Validate algorithms across large real and synthetic datasets and diverse environments and conditions.
- Write safe, efficient real-time C++ code using algorithmic parallelism through CUDA and GPGPU programming.
- Productize software for deployment in consumer vehicles while following MISRA and ISO 26262 automotive quality and safety standards.
Requirements
- PhD with 2+ years, MS with 4+ years, or BS or equivalent experience with 6+ years of relevant experience in computer science, computer engineering, or a related technical field.
- Experience with computer vision, 3D geometry, mapping, localization, or related technologies.
- Strong modern C++ software development skills and a solid foundation in linear algebra and geometric computer vision.
- Strong communication and teamwork skills for cross-team collaboration.
- Significant industry experience, real-time computer vision development, and CUDA parallel programming are preferred.
Benefits
- Base salary is listed at $184,000-$287,500 for Level 4 and $224,000-$356,500 for Level 5, plus eligibility for equity and benefits.
- Applications are accepted at least until September 18, 2026.
Tech Stack
Categories
Robotics
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.