Applied Intuition
Research Engineer - 3D Vision and Generation, Self-Driving
$126K–$423K
Sunnyvale · On-site · Full-time · Posted Feb 13, 2026
- Experience
- At least 1 year in autonomy and robotics applications or a closely related field; open to all years of experience if requirements are met.
- Education
- Master’s or PhD in machine learning and computer vision with autonomy and robotics applications, or a closely related field.
About the job
Research 3D vision and generative methods for autonomous driving, publish research, and collaborate to deploy algorithms and neural simulation tools.
What you'll do
- Research 3D vision topics, including foundation models, Gaussian splatting, and world models, for autonomous driving.
- Work with research scientists and interns on publications for top-tier conferences.
- Collaborate with engineering teams to deploy end-to-end algorithms and develop neural simulation and generation tools.
What they ask for
- Hands-on experience in at least one listed area: Gaussian-splatting 3D reconstruction; 3D or multimodal foundation models and pretraining; world foundation models and video generation; or 3D/multi-view end-to-end models for autonomous driving or robotics.
- Technical experience with Python, Pytorch, computer vision, robotics systems, and distributed machine-learning model training.
- Master’s or PhD in machine learning and computer vision with autonomy and robotics applications, or a closely related field.
- At least 1 year of experience in autonomy and robotics applications or a closely related field.
Nice to have
- Industry experience in relevant topics, preferably self-driving.
- Interest in building and shipping customer-focused software frameworks or tools.
Pay
$126K – $423K (base salary)
Tools
Python, Pytorch, Gaussian splatting
AI focus
Research and develop 3D vision, multimodal and world foundation models, video generation, and end-to-end autonomy algorithms for self-driving applications.
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