Nvidia Senior Software Systems Engineer Motion Planning - Autonomous Vehicles 

United States, California 

782668470

What you'll be doing:
Maturing and productizing these features entails a diversity of activities, including:

• Design and implement cost and constraints for trajectory generation for a non-linear constrained optimization problem addressing autonomous driving and parking in dynamic environments.

• Improve gradient-based optimization solver methods for higher efficiency and performance.

• Model desired highway and urban (L2-L4) vehicle behavior and driving modes as an optimal-control problems.

• Designing the overall software architecture for a particular feature or component.

• Tuning and validating behaviors in Simulation and NVIDIA's autonomous vehicle customer fleet.

• Maturing prototype software to production quality.

What we need to see:

• MS or higher in an engineering or technical field (Computer Science, Mathematics, Control, Optimization, Machine Learning, Reinforcement Learning, etc.) or equivalent experience.

• 8+ years of practical experience. Experience in the AV industry highly preferred.

• Experience writing software in C++.

• A proven ability to demonstrate strong skills in applied mathematics is crucial. Proficiency with core concepts in linear algebra, differential equations, numerical methods and convex optimization.

• Comfort with software development environment in Linux using GitLab, JIRA, Gerrit (or similar).

Ways to stand out from the crowd:
We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience in working in product development in AV and vehicle test environment.

• Expertise in developing optimization solvers: linear & quadratic programming, sequential quadratic programming, and fully nonlinear, and their applications in model-predictive control systems for vehicle dynamic models.

• Experience working with motion planning algorithms. Interfacing with ML trajectory outputs.