We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion team. In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be working closely with our perception and planning teams in providing a world model that is complete and able to drive in the most challenging roads and intersections in the U.S and China. It is a very exciting role that provides a breadth of interesting areas and is central to our vision in AV. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What You'll Be Doing:
Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals.
Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
Enable L3 level autonomy in highway scenarios by creating accurate, reliable and safe models of the world from camera, lidar, radar perception and map signals
Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.
Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems. Be a hands-on collaborator with the team.
Mentoring strong engineers within the team.
Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions
Produce code and designs following automotive quality and safety standards.
What We Need To See:
BS, MS, or PhD in Computer Science or related fields or equivalent experience
8+ years of experience, with at least 2+ years in the AV or robotics industry.
2+ years of experience technically leading areas
Passion for robotics and autonomous vehicles
Drive to learn new things and tackle meaningful problems
Outstanding communication and cross-team collaboration especially with multinational teams across the globe.
Independent and analytical software engineering skills
Software development experience on embedded or automotive platforms.
Ways To Stand Out From The Crowd:
Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filters
Significant industry experience in the AV area esp. self-driving cars.
Experience developing real-time Computer Vision systems.
Strong API and framework design skills
We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.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
- BS, MS, or PhD in Computer Science or related fields or equivalent experience
- 8+ years of experience, with at least 2+ years in the AV or robotics industry
- 2+ years of experience technically leading areas
- Software development experience on embedded or automotive platforms
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.”
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