Senior Software Systems Engineer, Motion Planning - Autonomous Vehicles

Posted 12 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop optimization algorithms and control solutions for autonomous driving by designing software architecture, maturing prototype software, and working on trajectory planning in a collaborative environment.
Summary Generated by Built In

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.

What we need to see:

  • 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).

Ways to stand out from the crowd:

  • 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Top Skills

C++
Gitlab
JIRA
Linux
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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