3 days ago
Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$184k - $357k/yr
Responsibilities
- Lead motion-planning feature development from initial design through productization and deployment.
- Model L2, L3, and L4 vehicle behaviors and driving modes as optimal-control problems.
- Integrate perception, prediction, and user-comfort data with prediction and behavior-planning teams.
- Participate in issue triage with product and user-experience engineers to improve driving behavior and product quality.
- Improve optimization solver performance using instruction parallelization and memory optimization techniques.
Requirements
- 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven ability to develop high-quality C++ software in large collaborative codebases.
- Experience with Git, Gerrit, JIRA, and Jenkins collaboration environments.
- Strong applied mathematics skills, including linear algebra, differential equations, numerical methods, and convex optimization.
- Preferred experience in autonomous-driving product development.
- Preferred expertise in constrained optimization-based trajectory generation, vehicle dynamics, and performance optimization for in-car deployment.
- Preferred familiarity with lattice-based planners, hybrid A*, D*, and RRTs.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors; the posting lists Level 4 and Level 5 salary ranges.
- Applications are accepted at least until November 13, 2026.
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.
