Senior Perception Engineer

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.

Responsibilities

• Develop and productize NVIDIA’s autonomous driving solutions focusing on world-class 3D obstacle perception.
• Improve robustness, accuracy, and efficiency of 3D obstacle perception solutions using deep learning.
• Focus on obstacle perception/fusion in complex driving environments.
• Conduct applied research and develop innovative deep learning and multiple camera fusion algorithms.
• Identify and analyze strengths and weaknesses of 3D obstacle perception solutions using large scale benchmark data (real and synthetic) and improve iteratively through KPI building and optimization.
• Productize perception solutions meeting safety, latency, and software robustness requirements.
• Collaborate with large data collection and labeling teams to maximize the value of data for improving perception system accuracy.

Requirements

• 12+ years of hands-on experience developing deep learning algorithms for real-world problems.
• Proficient with deep learning frameworks such as PyTorch.
• Experience in data-driven development and cross-team collaboration.
• Strong programming skills in Python and/or C++.
• Excellent communication and teamwork capabilities.
• BS/MS/PhD in Computer Science, Electrical Engineering, sciences, or related fields (or equivalent experience).

Preferred Qualifications

• Proven expertise in perception solutions for autonomous driving or robotics using deep learning with cameras.
• Experience in developing and deploying DNN-based solutions on embedded real-time platforms.
• Published technical work in leading conferences/journals on deep learning.
• Good understanding of 3D computer vision fundamentals, and camera calibration (intrinsic and extrinsic).
• Experience with CUDA programming and implementing CUDA kernels in training or inference pipelines.

Salary and Benefits

• Base salary range: 224,000 USD - 356,500 USD, depending on location, experience, and peer pay.
• Eligibility for equity and additional benefits.

NVIDIA is an equal opportunity employer committed to diversity and inclusion in the workplace.