$184,000 – $356,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Join NVIDIA's Isaac Spatial Intelligence team to develop perception and reasoning systems that enable robots to understand their environment through computer vision and foundation models. This role combines geometric vision research with modern deep learning to advance the state of the art in robotic perception and spatial AI.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- PhD or Master's degree in Computer Science, Robotics, or related field, or equivalent experience
- 8+ years of experience in computer vision, robotics, or deep learning
- Strong foundation in 3D geometric computer vision
- Hands-on programming proficiency in Python and/or C++
- Experience training and evaluating deep learning models for perception
- Proficiency with AI coding agents and agentic workflows
- Excellent communication and interpersonal skills
Nice to have
- Contributions to widely used SLAM, SfM, or 3D reconstruction systems
- Experience with large-scale model training on GPU clusters for VLMs or foundation models
- Publications at top computer vision or robotics venues
- Hands-on experience with simulation-based training and sim-to-real transfer