NVIDIA
Autonomous Vehicles
SeniorSoftwareDevelopmentEngineer,MotionPlanning-AutonomousVehicles
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Development Engineer, Motion Planning - Autonomous Vehicles at NVIDIA. Skills: Motion Planning, Trajectory planning, C++ software development, applied mathematics, optimization. Lead the entire feature lifecycle, driving motion planning solutions from initial design through to full productization and deployment. Model L2, L3, and L4 vehicle behaviors and driving modes by formulating them as optimal-control problems”
What You'll Achieve.
deliver new motion-planning features; build focused software solutions; design and mature new products all the way through to production; support overall product quality; performance optimization for in-car deployment
Industry & Context.
Motion Planning problems; optimal-control problems
What They're Looking For.
Must Have
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, Proven ability to develop high-quality C++ software within large, collaborative codebases, skills in applied mathematics, with proficiency in linear algebra, differential equations, numerical methods, and 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 and performance optimization for in-car deployment, Familiarity with advanced motion planning algorithms, including lattice-based planners, hybrid A*, D*, and RRTs
What You'll Do.
Lead the entire feature lifecycle
driving motion planning solutions from initial design through to full productization and deployment
and L4 vehicle behaviors and driving modes by formulating them as optimal-control problems
and user-comfort preferences through deep collaboration with prediction and behavior planning teams
Enhance driving behavior and support overall product quality by engaging in continuous issue triage alongside product and user-experience engineers
Improve optimization solver performance using instruction parallelization and memory optimization techniques
How You'll Work.
Team & Collaboration
effective collaboration with established teams; deep collaboration with prediction and behavior planning teams; continuous issue triage alongside product and user-experience engineers
Process & Methodology
Lead the entire feature lifecycle
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an experienced Motion planning senior software development engineer to develop key features for our autonomous driving platform. In this role, you will work on a mix of Trajectory planning, Motion Planning problems to build focused software solutions. Through effective collaboration with established teams, you will help design and mature new products all the way through to production. ****What you 'll be doing:**** Software development to deliver new motion-planning features entails a diversity of activities, including: * Lead the entire feature lifecycle, driving motion planning solutions from initial design through to full productization and deployment.. * 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. * Enhance driving behavior and support overall product quality by engaging in continuous issue triage alongside product and user-experience engineers. * Improve optimization solver performance using instruction parallelization and memory optimization techniques. **What we need to see:** * PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of
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