NVIDIA is looking to improve the intelligence of its driving assistant system by aggregating and interpreting information from its consumer fleet, developing groundbreaking algorithms to make the system smarter and safer, and making autonomous driving a tangible reality.
Requirements
- Proven experience in deep learning, computer vision, or related areas.
- 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++.
- 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.
Responsibilities
- 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.
Other
- 5+ years of experience in the related field
- 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).
- Applications for this job will be accepted at least until December 18, 2025.
