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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Aug 19, 2025
Salary
$126,000–$423,000 a year
Full-time

Research Engineer - Robotic Hardware, Simulation and Data

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

  • Support the team for robotic and data collection hardware set up, and design the mechatronic system for customized demands
  • Construct robotic simulation environments at scale and use it for RL training
  • Process human data for robotic use cases
  • 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 Humanoid, general robotics and human data collection hardware experiences (both utilization and design)
  • Large-scale robotic simulation construction, deformable object simulation, and its utilization in RL training
  • Human data processing, retargeting, pose estimation, SLAM
  • 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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