Senior Software Engineer - Autonomous Vehicles

Details

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.

We are looking for an experienced SW Engineer to join Autonomous vehicle SW development for integrating both machine learning and classical trajectory planner within a safety-oriented framework in high autonomy level (SAE Level 3 or 4 focused). Do you have solid SW integration and SW architecture fundamentals, and a broader understanding in the behavior planning, trajectory planning, Safety concept and machine learning overall? If so, this may be the role for you.

Responsibilities

• Perform various architectural work cross-team — classical planner and machine learning planner.
• Establish the framework where safety requirements are satisfied in trajectory planning.
• Perform safety related work in autonomous systems.
• Build Minimum-Risk-Planning in a high level autonomy system.
• Establish scalable architecture for various NVIDIA self-driving stack as a product.
• Actively engage in planning and control algorithms development and implementation; understand the software architecture.
• Design requirements and ensure overall planning and control performance and capabilities are improving.
• Review, influence, and challenge planning and control algorithms with new ideas; influence roadmaps across teams.

Requirements

• 12+ years of relevant industry experience.
• A track record of driving large self-driving projects through the entire development lifecycle.
• BS/MS or higher or equivalent experience in robotics, computer science, or related engineering fields.
• Experience in agile software development process and delivering software as a product, preferably in safety-critical applications.
• Ability to design for reliability and testability.
• Strong software engineering fundamentals.
• Excellent verbal and communication skills.
• Strong analysis skills.

Ways To Stand Out From The Crowd (Preferred / Additional Qualifications)

• Technical leadership delivering large-scale self-driving features.
• Exceptional software engineering skill and experience.
• Passion for innovative technology and active engagement with leading technologies and trends in autonomous vehicles and autonomous systems.
• Hands-on orientation, strong cross-team collaboration, attention to detail, data organization skills, and willingness to firefight.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits (see NVIDIA benefits page).

Additional Information

• Focus area: integrating machine learning and classical trajectory planners within a safety-oriented framework (SAE Level 3/4).
• Applications for this job will be accepted at least until March 13, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and committed to diversity.