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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 21, 2026
Salary
$250,000–$423,000 a year
Full-time

Research Scientist - Humanoid Robotics

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

  • Set and drive the research agenda for humanoid robotics, with a focus on dexterous manipulation and relevant frontier research problems
  • Conduct original research on world-action foundation models and reinforcement learning, delivering manipulation policies for humanoid robotic systems
  • Serve as a founding senior researcher on the humanoid effort, shaping both the technical direction and the growth of the team
  • Publish at top-tier venues (CoRL, ICRA, RSS, and similar) alongside other Research Scientists and interns
  • Collaborate closely with Research Engineers and product teams to deploy your work into real humanoid platforms and dexterous hands
  • Partner with senior researchers Yihan Hu and Wei on cross-cutting problems spanning autonomy and robotics

Job requirements

  • 1+ years of industry research experience, or a completed post-doc in a relevant field
  • A strong research record in robotics, manipulation, robot learning, or closely related areas, with publications in top-tier conferences or journals such as CoRL, RSS, ICRA, IROS
  • PhD in machine learning, computer vision, robotics, or a closely related field
  • Strong technical convictions and a clear point of view on where the field is going — and the self-motivation to drive that vision to execution for a team of researchers
  • Technical and professional maturity: able to operate independently as a senior IC and set direction for others
  • Passion for scalable, real-world robotics and physical AI, not just benchmark performance
  • Humanoid robotics platforms, dexterous manipulation and multi-fingered hands
  • VLA/WAM and post-training for robotics

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