EN/中文
EN/中
Careers

At XITU, we are pioneering the future of intelligent automation. From advanced mobile robots to cutting-edge artificial intelligence, our solutions are transforming industries, redefining human-robot collaboration, and scaling businesses to unprecedented heights.

We think big, and we are looking for talents who share that ambition. If you are ready to take on bold challenges and contribute to a future where technology elevates humanity, join us.

  • Robot Foundation Model Engineer

    Shanghai

    Responsibilities

    • Lead core VLA/LM algorithm R&D for embodied intelligence, staying at the forefront of technology to advance multimodal model deployment
    • Develop Action Foundation Models to support cognitive reasoning across complex scenarios and enable execution of diverse manipulation tasks
    • Design end-to-end embodied policy learning frameworks, integrating imitation learning, reinforcement learning, and other techniques to optimize decision generation

    Requirements

    • Master's degree or above in Computer Science, AI, Mathematics, or related engineering fields
    • Experience in large model training and fine-tuning, including but not limited to: LaVA multimodal models, Llama LLMs, Diffusion visual generation models, and RL-based fine-tuning
    • Strong programming skills with proficiency in Python/C++ and the PyTorch deep learning framework
    • Preferred: hands-on robotics project experience; High-capacity VLA architecture experience (e.g., RT1/RT2, pi0, GR-2); publications at top AI conferences; notable open-source contributions

  • AI Model Deployment & Optimization Engineer

    Shanghai

    Responsibilities

    • Model deployment and delivery: deploy LLM/VLM/VLA/multimodal and vision models on edge hardware (NPU/GPU/FPGA, robot SoCs, autonomous driving controllers)
    • Performance optimization: apply quantization, pruning, distillation, MoE, speculative sampling, LoRA, and low-level tuning for maximum inference throughput
    • Inference engine and toolchain development: leverage TensorRT, ONNX Runtime, TVM, NCNN for model acceleration; design high-performance inference services
    • Collaboration and validation: partner with algorithm engineers on model lightweighting; develop automated testing and performance benchmarking tools

    Requirements

    • Master's degree or above in Computer Science, AI, Applied Mathematics, or EE, with 5+ years of relevant experience
    • Expert in C/C++ (5+ years), Python, and CMake; proficient in Linux system programming
    • Familiar with deep learning frameworks (PyTorch, TensorFlow) and inference engines (TensorRT, ONNX Runtime, TVM, NCNN); CUDA programming or GPU optimization experience
    • Preferred: deployment experience with LLama, ChatGLM, or similar large models; proven edge hardware acceleration track record

  • Robot Perception Algorithm Engineer

    Shanghai

    Job Description

    • 3+ years of perception algorithm development for robots or robotic arms
    • Project experience in 6D pose estimation, grasp point estimation, and point cloud fusion
    • Proficient with Open3D, PCL, and other point cloud processing libraries
    • Solid knowledge of computer vision: classification, segmentation, object detection, etc.
    • Expert in C++; familiar with Python and ROS2

    Requirements

    • Master's degree or above in Automation, EE, Computer Science, or related fields, with 2+ years of experience
    • Strong Linux development skills with excellent C/C++ proficiency on Linux platforms
    • Familiar with mainstream deep learning frameworks (PyTorch/TensorFlow) with solid ML/DL knowledge
    • Expertise in at least one of: sensor fusion, probabilistic perception, object tracking & prediction, multimodal perception, or robot computer vision
    • Core skills in one or more: mmWave radar signal processing, LiDAR processing, image processing, sensor fusion algorithms, sensor calibration, pattern recognition, robot systems engineering
    • Strong analytical and problem-solving skills with good communication and teamwork abilities

  • Algorithm Engineer

    Shanghai

    Responsibilities

    • Proficient in VLA, LLM, and VLM algorithms; hands-on VLA deployment or reproduction experience preferred
    • Teleoperation experience in simulation environments preferred
    • Familiar with mainstream simulation platforms: Isaac Lab, ManiSkill, LIBERO, Isaac Gym, MuJoCo, Gazebo, or PyBullet
    • Familiar with VLA models such as pi0, RDT, and OpenVLA

  • Perception Algorithm Engineer

    Shanghai

    Responsibilities

    • Design and develop BEV perception model algorithms for AMR industrial automation, integrating multi-sensor (LiDAR, Camera, Radar) fusion
    • Develop end-effector guidance algorithms for AMR forklifts, achieving cm-level (< 2cm) placement accuracy
    • Optimize perception model inference and deploy in C++ on edge devices
    • Develop auto-labeling models to drive data closed-loop and accelerate model iteration
    • Track cutting-edge end-to-end autonomous driving technologies and apply them to current business challenges

    Requirements

    • Bachelor's degree or above in Computer Science, Robotics, Automation, AI, or related fields
    • Familiar with mainstream deep learning algorithms including BEV perception, unsupervised training, foundation models, object detection, image segmentation, etc.
    • Proficient in at least one deep learning framework: PyTorch, TensorFlow, or MxNet
    • Expert in C++ programming; familiar with OpenCV, PCL, and other vision algorithm libraries
    • Experience in autonomous driving, AGV perception, or AMR perception preferred
    • Candidates with mass production experience preferred

  • Reinforcement Learning Algorithm Expert

    Shanghai

    Responsibilities

    • Develop generalizable embodied intelligence algorithms for robotic arm and humanoid robot scenarios, enabling multi-scenario and multi-task generalization
    • Rapidly validate frontier imitation learning and reinforcement learning techniques in real-world scenarios; propose optimization and deployment strategies
    • Design industry-specific foundation model solutions for industrial scenarios; drive engineering of embodied intelligence dataset construction

    Qualifications

    • Master's degree or above in Computer Science, AI, Robotics, or related fields
    • 5+ years of R&D experience in embodied intelligence
    • Proficient in C++/C or Python; familiar with at least one DL framework (PyTorch, TensorFlow); knowledgeable in ViT, Diffusion Models, and other frontier techniques
    • Expert in common imitation learning algorithms: RT1/2, ACT, Diffusion Policy network architectures and training pipelines
    • Experience applying foundation models to embodied intelligence preferred
    • Deep reinforcement learning work experience preferred

  • Decision & Planning Algorithm Engineer

    Shanghai

    Responsibilities

    • Design and develop decision-planning algorithms for AMR industrial automation, enabling safe and efficient path planning and behavioral decision-making
    • Integrate classical planning algorithms (FSM, behavior trees, A*, RRT*, MPC) with deep learning decision algorithms for real-world deployment
    • Implement and optimize decision-planning algorithms in C++ for real-time performance on edge computing platforms
    • Build high-fidelity simulation environments and develop automated evaluation and regression testing frameworks
    • Track frontier decision technologies in end-to-end autonomous driving and embodied intelligence (e.g., VLA, world models)

    Requirements

    • Bachelor's degree or above in Computer Science, Robotics, Automation, AI, or related fields
    • Familiar with mainstream decision-planning frameworks: behavioral decision-making, trajectory planning (A*, RRT*, Hybrid A*), motion control (MPC, LQR), and multi-sensor fusion localization
    • Solid deep learning foundation; familiar with deep RL or imitation learning for decision-making
    • Expert in C++; proficient in Python; familiar with Linux development environment
    • Experience with ROS/ROS2 frameworks and Navigation2 stack preferred
    • Autonomous driving, AGV/AMR decision-planning experience preferred

  • Embodied Intelligence — Motion Control Agent

    Shanghai

    Job Description

    • Develop and optimize motion control algorithms for legged robots and robotic arms, including RL-based control, optimization-based control, force/impedance control, etc.
    • Validate algorithms using dynamics simulators (IsaacGym/MuJoCo/PyBullet) and provide data-driven insights for robot hardware design
    • Develop and maintain motion control software modules to support higher-level application requirements
    • Track frontier motion control technologies and evaluate new techniques for practical application

    Requirements

    • Strong foundation in robotics and control theory; familiar with forward/inverse kinematics/dynamics, system identification
    • Proficient in C++/Python; familiar with Linux; mastery of at least one dynamics simulator (MuJoCo/PyBullet/Gazebo)
    • Hands-on experience with legged robots, UAVs, or robotic arms; familiarity with modern robotics libraries (Pinocchio/OCS2) preferred
    • Preferred: publications at RSS/ICRA/IROS/CoRL; multi-robot platform debugging experience; knowledge of actuators and sensors; character animation or generative model expertise

  • Embodied Intelligence SLAM & Navigation Engineer

    Shanghai

    Job Description

    • Algorithm R&D: develop and optimize SLAM algorithms for embodied intelligent robots, researching line/point feature-based and semantic SLAM approaches, exploring deep learning integration
    • Navigation system design: develop efficient path planning algorithms with obstacle avoidance, design multi-sensor fusion navigation control systems, optimize motion control (PID, MPC)
    • System integration: build SLAM and navigation systems on ROS/ROS2, port algorithms to embedded platforms for real-time performance, support field testing and debugging
    • Technical research: track frontier SLAM and navigation technologies (semantic SLAM, multi-robot cooperative navigation), participate in cross-disciplinary collaboration

  • Hardware Engineer

    Shanghai

    Job Description

    • Design and optimize hardware solutions for the robot brain domain controller
    • Perform detailed hardware design, circuit analysis, and prototype debugging for the domain controller
    • Prepare BOM documentation and manage material procurement
    • Oversee prototype manufacturing and manufacturability analysis
    • Handle functional safety and information security hardware tasks for the domain controller

    Requirements

    • Bachelor's degree or above in Automation, Electronics, Electrical Engineering, or related fields
    • 8+ years of relevant work experience
    • Familiar with robot system-level requirements and interface specifications
    • Expert in circuit design and PCB design
    • Familiar with mainstream computing chips from NVIDIA, Qualcomm, Horizon Robotics, etc.
    • Expert in circuit simulation and worst-case analysis
    • Proficient with electronic test instruments and hardware EDA tools
    • Functional safety experience preferred

  • Robot Dexterous Hand Designer

    Shanghai

    Responsibilities

    • Design multi-DOF mechanical hand structures for flexible grasping and fine manipulation across diverse tasks
    • Develop and optimize motion control algorithms for dexterous hands, ensuring precise joint coordination
    • Integrate force feedback and tactile sensors for real-time contact and grip force control
    • Collaborate with control algorithm, embedded systems, and AI teams for seamless system integration
    • Validate dexterous hand design and performance through simulation and prototype testing, driving rapid iteration
    • Explore lightweight and novel materials for improved durability and operational efficiency

    Requirements

    • Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related fields
    • 3+ years of experience in precision mechanics, robotic hand design, or similar domains
    • Expertise in multi-DOF mechanical system design with complex motion control and feedback
    • Proficient in CAD, motion simulation, and FEA tools for design optimization
    • Deep understanding of mechanics, control systems, and sensor technology
    • Preferred: humanoid robot or high-precision multi-DOF system design experience; knowledge of tactile feedback systems and complex mechanical system integration

  • Robot System Test Engineer

    Shanghai

    Responsibilities

    • Define robot system test plans, construct user scenarios, write and execute test cases, and publish test reports
    • Build standardized test platforms and environments for robot automation testing, improving automation coverage
    • Organize and execute test tasks, track defects, and deliver test result analysis reports
    • Coordinate with development teams to drive issue resolution and ensure product delivery quality

    Requirements

    • Bachelor's degree or above in Computer Science, Automation, or related fields
    • Proficient in Python for test scripting; familiar with ROS and Linux systems; understanding of machine learning fundamentals
    • Independent thinker with strong logical reasoning and problem-solving skills
    • Quick learner with strong teamwork and dedication
    • Preferred: familiarity with robot components (integrated joints, IMU, cameras, LiDAR); knowledge of CANopen/EtherCAT protocols; robotics internship or competition experience

  • Industrial Design Intern (Robotics)

    Shanghai

    Responsibilities

    • Assist in concept and industrial design for robots and dexterous hands, with focus on soft material applications (textiles, leather, foam, etc.)
    • Participate in competitive analysis; produce design sketches, 3D models, and rendered visualizations
    • Assist with product and scenario photography: static product shots, narrative scene photography, etc.
    • Post-process captured materials (retouching, basic video editing) for brand communications

    Requirements

    • Currently enrolled in Industrial Design, Product Design, Fashion Design, or related programs (Class of 2027 or 2028 preferred)
    • Proficient in at least one modeling tool (Rhino / SolidWorks / Fusion 360) and rendering software (Keyshot / C4D)
    • Able to rapidly produce design concepts with sketching or Photoshop-assisted presentation skills
    • Familiarity with robot product architecture, HCI logic, or material processes preferred
    • Product/scene photography skills; video editing ability is a plus
    • Preferred: basic animation or motion graphics capability; knowledge of garment processes; design competition awards
Work Environment

XITU is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, national origin, disability, genetic information, or any other protected characteristic as outlined by country, or local laws.