Senior Software Engineer, 3D/4D Reconstruction
About the role
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. Our work is crucial to empower the training and testing of end-to-end driving models through end-to-end close-loop simulation. You will have the opportunity to work with a diverse team of researchers and engineers in the field of 3D/4D reconstruction, world modeling 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, diffusion models, and generative world models.
Invent evaluation methods to measure the reconstruction and simulation quality.
Develop tools to visualize and triage evaluation metrics.
Build automated and agentic workflows to boost developer efficiency.
Profile and optimize the performance of neural networks training and deployment.
Relentlessly improve the reconstruction fidelity and simulation realism.
Collaborate with scientists and developers 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 Hands on experience with structure from motion, dense reconstruction, Gaussian splatting, 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.
Questions about this role
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