Senior Perception Engineer - Autonomous Vehicles

Details

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. Now, 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.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world. The primary approach will be deep learning. 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

• Develop multi-sensor fusion based deep learning models for obstacle perception/fusion in complex driving environments.
• Conduct applied research and development of deep learning and multi-sensor fusion algorithms to improve accuracy of 3D obstacle perception under diverse and challenging scenarios.
• Identify and analyze strengths and weaknesses of 3D obstacle perception solutions using large-scale benchmark data (real and synthetic); improve models iteratively through KPI building and optimization. Tasks include careful data verification, model architecture design, loss function engineering, and debugging ML models.
• Productize perception solutions to meet product requirements for safety, latency, and software robustness, with emphasis on production deep learning model development.
• Drive and prioritize data-driven development by working with large data collection and labeling teams: data collection prioritization, labeling prioritization, and maximizing value of data.

Requirements

• 10+ years of hands-on experience developing deep learning and algorithms for sophisticated real-world problems; proficiency in deep learning frameworks (e.g., PyTorch).
• Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly for high-resolution world reconstruction.
• Proven experience in production deep learning model development, including data verification, model architecture design, loss function engineering, and ML debugging.
• 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.
• BS/MS/PhD in Computer Science, Electrical Engineering, sciences or related fields (or equivalent experience).

Ways to stand out from the crowd

• Experience on end-to-end deep learning model development.
• Proven expertise developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input.
• Hands-on experience developing and deploying DNN-based solutions to embedded platforms for real-time applications.
• Good understanding of 3D computer vision fundamentals, camera calibration (intrinsic and extrinsic), and sensor fusion principles.
• Experience with CUDA development and ability to implement CUDA kernels as part of training or inference pipelines.

Compensation & Benefits

• Base salary range (by level):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• You will also be eligible for equity and benefits (see NVIDIA benefits).

Applications for this job will be accepted at least until July 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We do not discriminate 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.