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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Business Operations
Posted
Aug 14, 2026
Salary
$140,000–$200,000 a year
Full-time

Research Engineer - New Grad (2027)

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

  • Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
  • Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools
  • Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
  • Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences

Job requirements

  • Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning
  • VLA post-training, reinforcement learning
  • Physics-aware reconstruction, deformable simulation
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field, graduating by December 2026 or Summer 2027
  • 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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