We are seeking an enthusiastic software engineer to join our Motion / Trajectory planning team to develop and deploy Optimization-based Trajectory generation algorithms for NVIDIA's autonomous driving platform. In this role, you will work on developing code within the NVIDIA AV stack and work closely with Behavior planning and controls engineers to build focused software solutions. You will work on production-ready code that transforms the autonomous driving experience working closely with our OEM Automotive partners. 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. - 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). 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. Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1998801