Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

About the role

We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world.

NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and act as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving.

Responsibilities

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
• Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
• Take approaches from initial evaluation and experimentation all the way to shipping.
• Define and collect training datasets.
• Build training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

Requirements

• PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Proven experience building robust software.
• Passionate about Artificial Intelligence for robotics and autonomous navigation.
• Strive to learn new things and like solving hard problems.
• Math knowledge.
• Experience in Deep Learning / Machine Learning.
• Background in Computer Vision and/or Planning/Control.
• Programming and debugging skills in C++ and/or Python.
• Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.

Skills

• Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems.
• Experience with Unsupervised or Self-supervised Learning.
• Involvement with architecture optimization, pruning, curriculum & multi-task training.
• Experience fusing data from different sensor modalities (e.g., Images and LIDAR data) to enable information conflation, label propagation, cross training.

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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.