Principal Computer Vision and Deep Learning Engineer, 3D Reconstruction

What you’ll be doing:

• Experiment with state-of-the-art methods in camera-based 3D reconstruction, structure from motion, neural rendering, depth estimation, and/or map perception.

• Train neural networks on large-scale in-house autonomous driving and mapping datasets.

• Analyze experimental results and come up with ways to improve the accuracy and scalability of 3D reconstruction and map creation.

• Integrate models to our HD map creation pipeline to achieve end-to-end improvements in map quality.

• Profile and optimize the performance of neural networks as well as end-to-end systems.

• Collaborate with researchers and engineers across several organizations.

What we need to see:

• BS, MS, or PhD degree in Engineering or Computer Science or equivalent experience

• 15+ years of relevant work experience

• Extensive experience with Deep Learning, Computer Vision, Computer Graphics, or a related field.

• Experience with deep neural network training in leading frameworks such as PyTorch and Tensor Flow.

• Solid fundamentals in 3D computer vision, such as linear algebra, camera models, and structure from motion.

Ways to stand out from the crowd:

• Experience with 3D reconstruction, structure from motion, neural reconstruction, depth estimation, and/or map creation.

• Experience in autonomous driving: evidence of practical experiments and projects within the autonomous driving domain, showcasing your ability to apply machine learning algorithms to solve sophisticated problems in this field.

• Published research: particularly around 3D reconstruction demonstrating a deep understanding and contribution to the field.

The base salary range is 268,000 USD - 414,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.