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NIO
Posted 95 days agoVerified live 1d ago

AI Robotics Researcher

Brief overview

San Jose, CAIn-person
MastersOr in progress
29 H-1B approvalsDept. of Labor
9 green cardsCertified filings

About the company

NIO is an automotive company that designs and develops electric autonomous vehicles.

Visa sponsorship history

4 years sponsoring, last filed FY2026H-1B dependent

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
29H-1B approved
97%approval rate
14new H-1B hires
9PERM certified
$215,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202313
20249
20256
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20235
20244
20252
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
20257
20261
Top sponsored roles
Technical Program ManagerHead of Networking and Communications LabStaff Algorithm EngineerSenior Staff Systems Solution ArchitectStaff Software Engineer
Sponsored employees from
India

Job description

Summary

NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. They are seeking exceptional AI Robotics Researchers to join their next-generation intelligent systems team, focusing on the intersection of embodied AI, dexterous robotic manipulation, and physical world understanding.

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

Skills

  • 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, TensorFlow), 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 hardware
  • Ph.D. (or Ph.D. candidate expecting graduation within 6–12 months)
  • Track record of publications in top AI or robotics conferences (CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, ICML)
  • Experience with dexterous manipulation systems, multi-fingered hands, or grasp optimization
  • Familiarity with 3D perception, neural implicit representations, or foundation models for robotics
  • Experience in sim-to-real transfer, real-time control, or model-based RL
  • Passion for applying AI to physical systems and creating robots that solve real problems in the real world

Qualifications

Must Haves

  • 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, TensorFlow), 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 hardware

Nice to Haves

  • Ph.D. (or Ph.D. candidate expecting graduation within 6–12 months)
  • Track record of publications in top AI or robotics conferences (CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, ICML)
  • Experience with dexterous manipulation systems, multi-fingered hands, or grasp optimization
  • Familiarity with 3D perception, neural implicit representations, or foundation models for robotics
  • Experience in sim-to-real transfer, real-time control, or model-based RL
  • Passion for applying AI to physical systems and creating robots that solve real problems in the real world

Benefits

  • Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee OnlyCoverage.
  • Dental (including orthodontic coverage) and vision plan.Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with Brokerage Link option
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • 13 Paid Holidays a year
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Mobile Cell Phone Credit
  • Free lunch and snacks
  • Onsite gym
  • Employee discounts and perks program

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