About NVIDIA
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
The Role
Senior Perception Engineer for NVIDIA's autonomous driving solutions. As a member of the perception team, you will be driving end-to-end solutions for perception modules that are responsible for online mapping — including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.
Responsibilities
- Design end-to-end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways
- Conduct applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks
- Develop generalizable approaches to support diverse ODDs and Country/region expansion
- Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy
- Manage data collection prioritization and planning, labeling prioritization, and labeling efficiency optimization to maximize data value
- Leverage data simulation and augmentation for solving extreme scenarios
- Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness
Requirements
- Education & Experience: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
- 2+ years of technical leadership demonstrating high technical and organizational complexity (a big plus)
- Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems
- Proficiency in using deep learning frameworks (e.g., PyTorch)
- Experience in data-driven development and collaboration with data and ground truth teams
- Strong programming skills in Python and/or C++
- Outstanding communication and teamwork skills
Preferred Qualifications
- Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras
- Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications
- Proven expertise in deep learning backed up by technical publications in leading conferences/journals
- Expertise with Transformers, BEV architectures, and modern static-world perception techniques
- Experience in working on similar online mapping and complex road detection problems
Compensation & Benefits
- Base Salary (Level 4): $184,000 USD - $287,500 USD
- Base Salary (Level 5): $224,000 USD - $356,500 USD
- Equity and benefits eligible
- Base salary determined based on location, experience, and pay of employees in similar positions
Application Details
- Applications accepted at least until September 2, 2026
- This posting is for an existing vacancy
- NVIDIA uses AI tools in its recruiting processes
Equal Opportunity
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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.
About NVIDIA
NVIDIA designs graphics processing units (GPUs) and accelerated computing platforms for artificial intelligence, data centers, gaming, professional visualization, autonomous vehicles, and robotics. The company operates as a full-stack computing platform combining hardware, software, and networking solutions.
Interested in this role?
Apply now to join NVIDIA.