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AI Robotics Researcher

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Nio
Full Time position
Listed on 2026-10-13
Job specializations:
  • Research/Development
    Robotics
Salary/Wage Range or Industry Benchmark: 164000 - 212000 USD Yearly USD 164000.00 212000.00 YEAR
Job Description & How to Apply Below
About NIO

NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of “Blue Sky Coming”.

NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth.

NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand.

About the Position

We are seeking exceptional AI Robotics Researchers to join our next-generation intelligent systems team—pioneering the intersection of embodied AI
, dexterous robotic manipulation
, and physical world understanding
. This role is ideal for PhD students or recent graduates passionate about bridging fundamental AI research with real-world robotic impact
—from developing generalizable models for robot perception and control to enabling dexterous robotic hands to manipulate complex objects in unstructured environments.

You will tackle challenges that lie at the heart of embodied intelligence:
how robots perceive, reason, and act in the physical world. You’ll work on models that unify visual, tactile, and proprioceptive learning; build world models that enable prediction and generalization; and deploy AI-driven robots that interact safely and effectively in the real world.

Your work won’t stay on paper—you’ll see it come to life through physical robots performing complex tasks, making your research tangible, visible, and impactful across warehouses, factories, and mobility environments. This position offers the rare opportunity to combine cutting-edge research freedom with practical real-world deployment, shaping the next wave of intelligent embodied systems.

Roles and Responsibilities
  • Conduct original research in
    embodied AI
    ,
    robotic manipulation
    , and
    world modeling
    —including perception, planning, and control.
  • Develop and evaluate large-scale multimodal models that integrate
    vision, language, proprioception, and tactile inputs
    for real-world robotic tasks.
  • Create and prototype algorithms for
    dexterous robotic hands
    ,
    contact-rich manipulation
    , and
    adaptive task generalization
    .
  • Explore methods for
    sim-to-real transfer
    ,
    self-supervised physical interaction learning
    , and
    reinforcement learning in dynamic environments
    .
  • Collaborate with hardware and systems teams to translate research into
    real robotic systems
    —from simulation to physical deployment.
  • Publish and present your work at top-tier venues (e.g., CoRL, ICRA, RSS, NeurIPS) and contribute to advancing the state of embodied AI globally.
  • Shape the long-term roadmap of NIO’s embodied intelligence initiative, defining the frontier of AI-powered robotics in real-world domains.
Qualifications
  • Master’s or Ph.D. in
    Robotics, Computer Science, Artificial Intelligence,Mechanical/Electrical Engineering
    , or related fields.
  • Deep understanding of
    robot learning
    ,
    reinforcement learning
    ,
    imitation learning
    ,
    world modeling
    , or
    differentiable physics simulation
    .
  • Hands‑on experience with
    robotic manipulation
    ,
    grasp planning
    ,
    tactile sensing
    , or
    multi‑sensor fusion
    .
  • Proficiency in
    Python
    and modern ML frameworks (e.g., PyTorch, JAX, Tensor Flow), and robotics middleware such as
    ROS2
    .
  • Demonstrated ability to conduct independent research and publish in leading AI/robotics venues.
  • Strong analytical and system‑building skills; ability to work across simulation, perception, control, and physical robot…
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