Join IO-AI TECH

We are looking for passionate and creative individuals.
If you are interested in robotic motion control or model training, we offer a platform for you to explore and innovate.

Browse jobsAbout the company

  • Company

    Founded in 2023, focused on robotics and embodied intelligence data infrastructure.

  • Products

    End-to-end capabilities from teleoperation capture to annotation and training-ready data.

  • Locations

    Headquartered in Shenzhen, with offices in Beijing, Shanghai, and Hangzhou.

  • Benefits

    We have prepared a well-equipped single apartment near the company for each colleague, with a commute time of just a few minutes, allowing you to work comfortably and live comfortably.

Open positions

For job applications and inquiries, please send an email to HR at:

HR email

Robot Motion Planning & Control Engineer

Job Responsibilities

  1. Develop motion planning and control algorithms for robotic arms, including but not limited to dual-arm real-time control and obstacle avoidance planning.
  2. Perform hand-eye calibration for robotic arms and support target recognition development.
  3. Develop and maintain motion planning and control software.
  4. Develop and maintain low-level communication systems.
  5. Utilize existing tools like ROS for debugging and developing functional visualization interfaces.

Job Requirements

  1. Master’s degree or above in robotics, computer science, control engineering, automation, or related fields; (Interns are also welcome).
  2. Experience in robotic arm projects, including motion planning and control development.
  3. Familiar with kinematics and dynamics calibration methods and processes, as well as camera extrinsic calibration techniques.
  4. Understanding of multi-link serial kinematics and dynamics, solid knowledge in robotics, and familiarity with control theory, matrix theory, and probability theory.
  5. Proficient in optimization control methods, familiar with WBC and MPC control techniques.
  6. Skilled in kinematics and dynamics libraries such as Pinocchio, RBDL, and RBDyn; proficient in C++ and Python programming; familiar with ROS.

Senior Backend Engineer

Role overview

  1. Design and develop core backend systems for robotics.
  2. Scope includes device onboarding, real-time communication, job scheduling, data management, and access control.

Responsibilities

  1. Design and implement backend services (Node.js, Go, or Python).
  2. Design database schemas and optimize caching (e.g., PostgreSQL / Redis).
  3. Contribute to system architecture and implement asynchronous tasks and event handling with message queues.
  4. Own deployment and operations (primarily Linux and Docker).

Job Requirements

  1. Bachelor’s degree or above; computer science or related fields preferred.
  2. 3+ years of backend development experience.
  3. Strong command of at least one programming language with end-to-end project experience.
  4. Comfortable with common Linux server commands and basic operations work.
  5. Foundational system design skills with sound module and API decomposition.

Bonus (optional)

  1. Experience with WebSocket or real-time communication.
  2. Hands-on experience with Redis, Kafka, MQTT, or similar.
  3. Experience with Docker and/or Kubernetes.
  4. Experience with cloud or on-premises deployments.
  5. Experience with device connectivity or IoT.

Hardware Engineer

Job Responsibilities

  1. Own hardware architecture and rapid prototyping for integrated data-capture devices (trade studies, interface definition, bring-up), balancing performance, power, cost, and reliability.
  2. Lead selection and design of core blocks—SoCs, sensors (cameras/IMU, etc.), power and charging, connectivity (Wi‑Fi/BT/4G/5G, etc.)—through integration, validation, and issue closure.
  3. Drive hardware iterations from PoC through prototype, EVT/DVT, pilot, and mass production; own BOMs, specifications, test plans/reports, and revision history.

Job Requirements

  1. Master’s degree or above in EE, communications, automation, mechanical engineering, computer science, or related fields.
  2. 3–5 years of hardware R&D with shipping experience in robotics, smart hardware, or wearables (e.g., camera helmets).
  3. System-level hardware architecture skills with independent trade-off analysis and component selection (performance, power, cost, manufacturability).
  4. Familiar with hardware iteration and NPI/MP flows; capable of pilot bring-up, root-cause analysis, and cross-functional closure.
  5. Organizational and program skills to align ME, EE, sensing, test, and supply chain and lead integrated hardware development for data-capture devices.

Bonus Points

  1. Experience integrating multi-sensor data capture (cameras, IMU, audio, force sensing, etc.)