Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 7
Algorithms @ 6
Communication @ 6
Computer Vision @ 4
Robotics @ 7
Technical Leadership
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We are looking for a strong engineer to join the DRIVE Road Structure, Online Mapping, and Context Fusion team. You will help shape the future of autonomous driving by developing a complete 3D world model that fuses map and perception signals. You will work closely with perception and planning teams to provide a world model capable of supporting autonomous driving on challenging roads and intersections in the United States and China.
Responsibilities
- Develop core autonomous-driving functionality for all geographies by fusing state-of-the-art perception deep neural networks and map signals.
- Generate real-time 3D world models for planning using inputs from sensors and external sources.
- Enable HD-mapless driving in complex urban scenarios by creating enriched bird's-eye-view models of the environment.
- Enable Level 3 autonomy in highway scenarios by creating accurate, reliable, and safe world models from camera, lidar, radar, perception, and map signals.
- Build fused static obstacles, occupancy grids, and occlusion masks to enrich autonomous-vehicle scenarios.
- Provide technical leadership and guidance on approaches for solving complex autonomous-vehicle problems while remaining a hands-on collaborator.
- Mentor engineers on the team.
- Ensure algorithms perform effectively on large amounts of real and synthetic data across diverse environments and conditions.
- Produce code and designs that follow automotive quality and safety standards.
Requirements
- Bachelor's, master's, or doctoral degree in Computer Science or a related field, or equivalent experience.
- At least 8 years of experience, including at least 2 years in the autonomous-vehicle or robotics industry.
- At least 2 years of experience technically leading areas.
- Passion for robotics and autonomous vehicles.
- Motivation to learn new concepts and tackle meaningful problems.
- Outstanding communication and cross-team collaboration skills, especially with multinational teams across the globe.
- Independent and analytical software-engineering skills.
- Software-development experience on embedded or automotive platforms.
Preferred Qualifications
- Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization, or state-estimation algorithms such as Kalman filters and particle filters.
- Significant industry experience in autonomous vehicles, especially self-driving cars.
- Experience developing real-time computer-vision systems.
- Strong API and framework design skills.
Compensation and Benefits
- Base salary range of $184,000–$287,500 USD for Level 4.
- Base salary range of $224,000–$356,500 USD for Level 5.
- Base salary will be determined based on location, experience, and compensation for employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until May 8, 2026.
- NVIDIA is an equal opportunity employer committed to a diverse work environment.
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