- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 24, 2026
- Salary
- $126,000–$423,000 a year
Research Scientist - 3D Vision and Generation, Self-Driving
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and…
- Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
- Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products
Job requirements
- Strong research record in the fields of 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine…
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
- 1+ year of research experience in autonomy, self-driving, or related field
- Passion for next-generation, scalable autonomy and robotics for real-world systems
- Strong research skills and the ability to work both independently and collaboratively on projects
- Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
- 3D foundation model and pretraining
- Multi-modal foundation model
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