Senior Computer Vision And Deep Learning Engineer, 3D Reconstruction

NVIDIA Sensor Fusion Team Member

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we're at the forefront of transforming the future of mobility through AI-driven innovations, charting the course towards fully autonomous driving! Our groundbreaking robotic systems, equipped with state-of-the-art sensors, go beyond traditional machinery, offering advanced perception and intricate understanding of their surroundings with unmatched accuracy. As a pivotal member of the NVIDIA sensor fusion team, you will play a crucial role in improving the system's intelligence by aggregating and interpreting information from our extensive consumer fleet. By developing groundbreaking algorithms, you will contribute to making NVIDIA's driving assistant system smarter and safer. This is your chance to be part of a bold journey, making autonomous driving a tangible reality for our customers worldwide! Join us in crafting the future of transportation, where your work will not only lead to safer roads but also redefine human mobility.

What you'll be doing:

• Build and implement production pipelines for high-quality 3D reconstruction.
• Develop and optimize models and algorithm to process images and 3D data.
• Collaborate with cross-functional teams to integrate 3D reconstruction solutions into NVIDIA's products.
• Conduct research to innovate and improve existing methodologies.
• Analyze and tackle sophisticated problems, ensuring our solutions are both efficient and robust.
• Keep abreast of progress in deep learning and computer vision to sustain our competitive position.

What we need to see:

• Proven experience in deep learning, computer vision, or related areas.
• 5+ years of experience in the related field
• Proven track record in developing and deploying deep learning models for 3D reconstruction.
• Proficiency with deep learning frameworks such as PyTorch.
• Strong programming skills in Python and C++.
• Excellent analytical and problem-solving abilities.
• Strong communication skills and the ability to work collaboratively.
• BS/MS or higher in computer science, electrical engineering, or a related field (or equivalent experience).

Ways to stand out from the crowd:

• Experience working with generative models and applying them to 3D reconstruction.
• Background in developing algorithms for real-time processing and large-scale data.
• Publications or contributions to the field of deep learning and 3D reconstruction.

Join us in our mission to build the future of technology, where your contributions will help develop safer, smarter, and more innovative solutions!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 18, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we 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.