We are looking for a passionate team member to contribute to our autonomous driving product! The role involves applying deep learning and computer vision technologies to 3D/4D world modeling for autonomous vehicles without using lidars. Our work is essential to employing the consumer fleet to produce simulation assets, maps, and ground truth labels. You will have the opportunity to work with a diverse team of researchers and engineers in the field of 3D/4D reconstruction, mapping and simulation to deliver impact to our customers around the world!
What you’ll be doing:
Build innovative world reconstruction systems using large geometry models, perception models, Gaussian splatting algorithms, and generative world models.
Address user feedback and work to improve the reconstruction fidelity and simulation realism.
Create evaluation methods to measure the reconstruction quality and tools to visualize and debug issues.
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 or equivalent experience in Engineering or Computer Science with a focus on Generative AI, Deep Learning, Computer Vision, Robotics, Computer Graphics, or a related field.
5+ years experience in the related field
Hands on experience with structure from motion, dense reconstruction, Gaussian splatting, object perception, image/video diffusion models, and/or generative world models.
Solid fundamentals in 3D computer vision and deep learning.
Ways to stand out from the crowd:
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 Gaussian splatting, image/video diffusion models, or generative world models demonstrating a deep understanding and contribution to the field.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.