User Research

Research Engineer - New Grad (2027)

Join Applied Intuition's research group as an early-career engineer working on physical AI and autonomy.

What the role actually is

Applied Intuition is hiring new-grad research engineers for its research group. The team works on physical AI for self-driving, robotic generalists, humanoids, dexterous hands, and other autonomy systems.

For an early-career candidate, the notable part is the span: the listing points to model work, large-scale data, simulation, and deployed robotic systems rather than a single isolated research benchmark.

What you would work on

  • Build research code and experiments for autonomy and robotic systems
  • Learn from senior researchers working across physical AI and self-driving
  • Use simulation, fleet data, and evaluation tools to test model behavior
  • Help translate research ideas into systems that can survive practical constraints

What they are asking for

  • Early-career research engineering ability in robotics, machine learning, or autonomy
  • Strong programming and experimentation habits
  • Interest in embodied AI and systems that interact with the physical world
  • Ability to learn quickly in a fast-moving applied research environment

Why this one is worth a look

Good new-grad research roles in robotics are scarce, especially outside academia. This one is worth flagging because Applied has both research ambition and infrastructure used by customers building real autonomous machines.

About Applied Intuition

Silicon Valley physical AI company building autonomy, simulation, and operating-system software for vehicles, drones, defense systems, and industrial machines.

Visit Applied Intuition

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