2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and build robust, accurate map-enhanced autonomous driving solutions with ASIL safety requirements.
- Localize vehicles to map data to create precise models of the surrounding environment, including beyond the perception horizon.
- Validate algorithms on large volumes of real and synthetic data across diverse environments and conditions.
- Write safe, efficient real-time C++ code using CUDA-based GPGPU parallelism.
- Productize software for deployment in consumer vehicles while following automotive quality and safety standards.
Requirements
- PhD with 2+ years, MS with 4+ years, or BS/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 foundation in linear algebra and geometric computer vision.
- Effective communication and teamwork skills for cross-team collaboration.
- Preferred qualifications include significant industry experience, real-time computer vision development, and CUDA parallel programming experience.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and other objective job-related factors; the posting lists Level 4 and Level 5 salary ranges.
- Applications will be accepted at least until November 3, 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.