- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Feb 13, 2026
- Salary
- $126,000–$423,000 a year
Research Engineer - 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 foundation model, multi-modal pretraining, Gaussian splatting, world foundation model with applications to autonomous driving
- Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
- Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development
Job requirements
- Hands-on experience in at least one of the following fields 3D reconstruction with Gaussian splatting
- 3D / multi-modal foundation model and its pretraining
- World foundation model and video generation
- 3D/multi-view end-to-end models for autonomous driving or robotics
- Passion for next-generation, scalable autonomy and robotics for real-world systems
- Strong engineering and 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.
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