Are you driven to shape the future of autonomous vehicles at scale? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team and lead the development of next-generation self-driving technologies. In this role, you will partner with cross-functional engineering leaders to architect and deliver advanced 3D world models that fuse map and perception data, enabling safe, intelligent navigation across complex road systems in the U.S. and China. This is an opportunity to take technical ownership of critical systems and influence the direction of autonomous driving at the core of our platform.
What you'll be doing:
Lead Core Autonomous Driving Systems: Own the design, development, and evolution of systems that integrate cutting-edge perception and mapping technologies across diverse driving environments.
Architect Real-Time 3D World Models: Drive the creation of scalable, real-time 3D representations by fusing multi-modal sensor data and external sources to support robust planning and navigation.
Advance Mapless Driving Capabilities: Spearhead the development and processing of enriched bird’s-eye-view (BEV) model outputs, reducing reliance on HD maps and enabling autonomy in highly dynamic urban environments.
Elevate Scenario Understanding: Define and implement approaches for static obstacle modeling, occupancy grids, and occlusion reasoning to improve environmental awareness and decision-making.
Cross-Functional Leadership: Collaborate closely with perception, planning, and platform teams; mentor engineers; and help align technical strategy across organizations.
Set Engineering Standards: Champion high-quality, production-grade code and enforce best practices aligned with automotive safety, reliability, and scalability requirements.
What we need to see:
PhD with 6+ years, MS (or equivalent experience) with 10+ years of relevant experience in Computer Science, Computer Engineering, or a related field.
Proven track record of leading complex software systems, ideally in robotics, autonomous vehicles, or related domains.
Strong expertise in system design, real-time processing, and scalable software architectures.
Demonstrated ability to drive technical direction, mentor engineers, and deliver results in ambiguous environments.
Excellent problem-solving, communication, and cross-team collaboration skills.
Experience with embedded or automotive-grade systems is highly desirable.
Ways to Stand Out from the Crowd:
Deep expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e.g., Kalman or particle filters).
Experience leading real-time computer vision or perception systems in production environments.
Strong background in API design, software frameworks, and platform-level thinking.
At NVIDIA, we are committed to making autonomous driving a reality and believe this technology has the potential to save millions of lives. You will join a team of world-class innovators tackling one of the most impactful challenges of our time. With the scale, resources, and ambition to lead the industry, we are looking for leaders who can turn vision into reality. If you are passionate about building transformative technology and driving meaningful impact, we want to hear from you.
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.
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 in Computer Science, Computer Engineering, or related field with 6+ years of relevant experience
- MS or equivalent experience with 10+ years of relevant experience
- Proven track record of leading complex software systems in robotics or autonomous vehicles
- Strong expertise in system design and real-time processing
- Experience with embedded or automotive-grade systems
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.
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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.
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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.
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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.
NVIDIA Insights
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.”
