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Research Engineer - New Grad (2027)

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Research Engineer - New Grad (2027) in USA new

  • Applied Intuition
  • Full time
  • Email
  • Sunnyvale, CA

Responsibilities

  • Collaborate with the ADAS stack engineering team to test and deploy end-to-end algorithms for mass-production vehicles.
  • Collaborate with the simulation team to deploy data-driven generation algorithms for efficient, automated tools.
  • Research architecture design, robustness, safety, and language-modality incorporation for the differentiable stack.
  • Work with Research Scientists and interns on research publications for top-tier conferences.
  • Translate academic research into shipped autonomy and robotics systems that improve customer programs.

Requirements

  • MSc or PhD in machine learning, computer vision with autonomy and robotics applications, or a closely related field, graduating by December 2026 or Summer 2027.
  • Hands-on experience in at least one relevant area, including world-action foundation models, video or Gaussian generation, diffusion policy, multimodal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
  • Technical experience with Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.
  • Strong engineering and research skills with the ability to work independently and collaboratively.
  • Passion for scalable autonomy and robotics for real-world systems.
  • Industry experience on relevant topics, particularly self-driving applications, is preferred.
  • Experience building and shipping customer-focused software frameworks or tools is preferred.

Benefits

  • Full-time employees primarily work from an Applied Intuition office five days per week, with occasional remote-work flexibility.
  • Accessible and inclusive application and interview accommodations are available for applicants with disabilities and disabled veterans.

Salary: $140k - $200k/yr

Applied Intuition

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, t...

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