Senior Software Development Engineer, Motion Planning - Autonomous Vehicles

Reposted 12 Days 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 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 relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • Proven ability to develop high-quality C++ software within large, collaborative codebases.(Git, Gerrit, JIRA, Jenkins colab environments).

  • Strong skills in applied mathematics, with proficiency in linear algebra, differential equations, numerical methods, and convex optimization.

Ways to stand out from the crowd:

  • 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.

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 27, 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.

Skills Required

  • PhD with 1+ year, MS with 3+ years, or BS with 5+ years in Computer Science, Computer Engineering, or related field
  • Experience writing software in C++
  • Strong skills in applied mathematics, linear algebra, differential equations, numerical methods, and convex optimization
  • Comfort with Agile/Scrum software development

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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