Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Leadership @ 4
Communication @ 4
API @ 7
AI @ 4
Computer Vision @ 4
Robotics @ 4
- 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
Join NVIDIA's DRIVE Road Structure, Online Mapping, and Context Fusion team to lead development of next-generation self-driving technologies. In this role you will architect and deliver advanced 3D world models that fuse map and perception data to enable safe, intelligent navigation across complex road systems in the United States and China. This position offers technical ownership of critical systems and the opportunity to influence autonomous driving at the core of the platform.
Responsibilities
- Lead core autonomous driving systems: design, develop, and evolve systems that integrate perception and mapping technologies across diverse driving environments.
- Architect real-time 3D world models: create scalable, real-time 3D representations by fusing multi-modal sensor data and external sources to support robust planning and navigation.
- Advance mapless driving capabilities: develop and process enriched bird's-eye-view (BEV) model outputs to reduce reliance on HD maps and enable 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 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.
Requirements
- PhD with 6+ years, or 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.
Preferred / Ways to Stand Out
- 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.
Compensation & Benefits
- Base salary range: 224,000 USD - 356,500 USD (final base salary determined by location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits.
Additional Information
- Applications for this job will be accepted at least until May 30, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.