Senior Software Development Engineer, Motion Planning - Autonomous Vehicles

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Software Development Engineer to develop key features for NVIDIA's autonomous driving platform, focusing on Trajectory planning and Motion Planning problems. The role involves leading the entire feature lifecycle from design to production, modeling vehicle behaviors, integrating perception and prediction data, and optimizing solver performance.

What you'd actually do

  1. Lead the entire feature lifecycle, driving motion planning solutions from initial design through to full productization and deployment.
  2. Model L2, L3, and L4 vehicle behaviors and driving modes by formulating them as optimal-control problems. Integrate perception, prediction data, and user-comfort preferences through deep collaboration with prediction and behavior planning teams.
  3. Enhance driving behavior and support overall product quality by engaging in continuous issue triage alongside product and user-experience engineers.
  4. Improve optimization solver performance using instruction parallelization and memory optimization techniques.

Skills

Required

  • PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
  • high-quality C++ software development
  • large, collaborative codebases (Git, Gerrit, JIRA, Jenkins colab environments)
  • applied mathematics
  • linear algebra
  • differential equations
  • numerical methods
  • convex optimization

Nice to have

  • Prior experience contributing to product development within the Autonomous Driving industry
  • Expertise in constrained optimization-based trajectory generation for vehicle dynamics
  • performance optimization for in-car deployment
  • Familiarity with advanced motion planning algorithms, including lattice-based planners, hybrid A*, D*, and RRTs

What the JD emphasized

  • high-quality C++ software
  • large, collaborative codebases
  • applied mathematics
  • proficiency in linear algebra, differential equations, numerical methods, and convex optimization
  • constrained optimization-based trajectory generation
  • vehicle dynamics
  • performance optimization for in-car deployment
  • advanced motion planning algorithms

Other signals

  • autonomous driving platform
  • motion planning
  • trajectory planning
  • productization
  • deployment