About The Position
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 energetic, hardworking Motion / Trajectory planning and controls senior software engineer to develop key features for our autonomous driving platform. In this role, you will work on a mix of Trajectory planning, Motion Planning and control 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: Maturing and productizing new features entails a diversity of activities, including: Developing optimization algorithms Modeling desired L2/L3/L4 vehicle behavior and driving modes as an optimal-control problems Designing the overall software architecture for a particular feature or component. Maturing prototype software to production quality.
Requirements
- 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.
- Experience writing software in C++.
- Your ability to demonstrate strong skills in applied mathematics is essential.
- Proficiency with core concepts in linear algebra, differential equations, numerical methods and convex optimization.
- Comfort with an Agile/Scrum software development environment in Linux using GitLab, JIRA, Gerrit (or similar).
Nice To Haves
- Experience in working in product development and vehicle test environment.
- Expertise in developing optimization solvers: linear, quadratic, second-order cone, and fully nonlinear, and their applications in model-predictive control systems for vehicle dynamic models.
- Experience working with motion planning algorithms (A, D, RRTs, etc.) and using ML for planning will be an added advantage.
Responsibilities
- Developing optimization algorithms
- Modeling desired L2/L3/L4 vehicle behavior and driving modes as an optimal-control problems
- Designing the overall software architecture for a particular feature or component.
- Maturing prototype software to production quality.
Benefits
- You will also be eligible for equity and benefits .
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
