Senior Perception Engineer - Autonomous Vehicles

About the role

We are seeking an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. Your responsibilities will include:

• Developing and applying innovative deep learning and multi-sensor fusion algorithms for obstacle perception/fusion in complex driving environments.
• Improving the robustness and accuracy of 3D obstacle perception solutions through iterative KPI building and optimization using large scale benchmark data.
• Productizing developed 3D obstacle perception solutions to meet safety, latency, and software robustness requirements, focusing on production deep learning model development.
• Driving data-driven development by collaborating with data and ground truth teams to maximize the value of collected data.

Responsibilities

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.
• Develop and refine deep learning models for obstacle perception/fusion in complex driving environments.
• Iteratively improve the accuracy and efficiency of 3D obstacle perception solutions using large scale benchmark data.
• Collaborate with large data collection and labeling teams to enhance perception system accuracy.
• Implement CUDA kernels as part of training or inference pipelines.

Requirements

• 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
• Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction.
• Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models.
• 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 to work effectively as a tightly-knit team.
• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or related fields (or equivalent experience).

Qualifications

• Experience on end-to-end deep learning model development is a plus.
• Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input.
• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real-time applications.
• Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles.
• Experience with development in CUDA language.

Skills

• Experience with deep learning frameworks such as PyTorch.
• Proficiency in multi-sensor fusion techniques for perception tasks.
• Expertise in production deep learning model development.
• Data-driven development and collaboration with data and ground truth teams.
• Strong programming skills in Python and/or C++.
• CUDA language experience.

Benefits

NVIDIA offers competitive compensation packages, including base salaries ranging from $184,000 to $287,500 for Level 4 and $224,000 to $356,500 for Level 5, depending on location, experience, and the pay of employees in similar positions. Additionally, you will be eligible for equity and benefits.

Pay

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 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

The posting is for an existing vacancy. Applications for this job will be accepted at least until July 12, 2026.

Ways to stand out

Experience on end-to-end deep learning model development, proven expertise in developing perception solutions for autonomous driving or robotics, hands-on experience in developing and deploying DNN-based solutions to embedded platforms, good understanding of 3D computer vision, camera calibrations, and sensor fusion principles, and experience with development in CUDA language are all ways to stand out from the crowd.

Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and 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.