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Research Engineer - New Grad (2027)

Applied Intuition· 2026-2027 New Grad
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Sunnyvale$140k - $200kFull-timePosted 2mo ago

About the role

Research Engineer role in Applied Intuition's Research Group focusing on next-generation physical AI for autonomous driving and robotics. Designed for recent MSc/PhD or MS graduates graduating by December 2026 or Summer 2027, with opportunities to translate academic research into shipped autonomy systems.

Responsibilities

  • Collaborate with ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
  • Collaborate with 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 differentiable stack
  • Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences

Qualifications

  • 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
  • Hands-on experience in at least one of: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning; VLA post-training, reinforcement learning; Physics-aware reconstruction, deformable simulation
  • 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
  • 1+ year of experience in any field, or equivalent combination of education and experience

Skills

Required:PythonPyTorchComputer VisionRobotics Systems
Nice to have:Distributed ML Training
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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