Job Requirements:

1. Education & Experience: Bachelor’s degree or above in Robotics, Computer Science, or related fields. 8+ years of product management experience, including at least 3 years focused on robotics or complex AI hardware products. Must have a background in a leading tech company (Big Tech) and proven experience in leading product development from 0 to 1, including full-scale mass production and successful market launch.
2. Technical Acumen: Deep understanding of the Embodied Intelligence technology stack and the integration points between Large AI Models and Robotics. Familiarity with the hardware development lifecycle.
3. Commercial Success: Proven track record of successful AI product commercialization. Excellent insight into overseas markets with the ability to formulate effective market entry strategies.
4. Preferred Qualifications: Experience with overseas hardware compliance certification or international patent filing is a plus.
5. Development Platforms: Familiarity with robotics development platforms such as ROS 2 and NVIDIA Jetson.
6. Language & Culture: Fluent in English with proven experience in cross-cultural team collaboration.

Job Responsibilities:

1. Strategy & Roadmap: Develop the global product strategy and iterative roadmap for international markets.
2. Product Definition: Lead product definition and complete detailed planning for hardware-software co-design requirements.
3. Technical Implementation: Drive technology adoption to ensure hardware performance meets on-device AI inference requirements. Design diversified business models.
4. Lifecycle Management: Oversee the entire product lifecycle management. Coordinate cross-departmental resources to ensure mass production delivery and overseas market compliance.

Job Description:

1. Technical Bridge: Serve as the core bridge between R&D, Sales, and Marketing. Maintain a deep understanding of the technical principles, system capabilities, and key specifications of the company’s humanoid robots and embodied intelligence products.
2. Value Translation: Translate complex technical language into clear, persuasive market messaging and compelling value propositions.
3. Positioning & Messaging: Identify Unique Selling Points (USPs) , define product positioning, establish information architecture, and unify external communication standards.
4. Collateral Development: Create standardized product marketing collateral, including product brochures, presentation decks, and official website product page content.
5. Market Intelligence: Conduct ongoing competitive analysis and industry research, delivering insightful market analysis reports.
6. Application Enablement: Explore innovative applications for products in industrial, scientific research, and service scenarios, and develop corresponding case studies.
7. Go-to-Market Support: Support key market milestones including new product launches, client communications, and sales enablement initiatives.

Job Requirements:

1. Education: Bachelor’s degree or above. Backgrounds in Robotics, Automation, Electronic Engineering, Computer Science, or Artificial Intelligence are preferred.
2. Experience: 3+ years of experience in B2B technology product marketing, robotics, or AI-related product marketing.
3. Core Skills: Ability to rapidly grasp technical logic, with excellent structured communication and copywriting skills.
4. Mindset: Strong product thinking, user-centric perspective, and business acumen.
5. Preferred: Experience in humanoid robotics, embodied intelligence, or industrial automation is highly preferred.

Job Requirements:

1. Education: Master’s degree or above. Candidates with an overseas study background are preferred.
2. Experience: 3+ years of experience in product management or related fields. Priority will be given to candidates with backgrounds in humanoid robots, dual-arm robots, collaborative robots (cobots), or smart hardware industries.
3. Technical Process: Familiarity with the development process of complex mechatronic and software-hardware integrated products. Possesses an innovation-driven product mindset.
4. Market Insight: Strong ability to identify market trends and uncover target customer needs. Skilled at leveraging existing resources to develop new market opportunities.
5. Leadership & Collaboration: Proven excellence in cross-functional team management. Adept at motivating team members and demonstrating exceptional communication and leadership skills.
6. Strategic Agility: Keen industry insight, strong innovation and problem-solving skills. Capable of holistic, strategic thinking and rapid response to market changes. Willing to embrace challenges.

Job Responsibilities:

1. Strategy & Roadmap: Responsible for defining the product strategy and technology roadmap for the robotic (humanoid arm) product line and its derivatives. Define product specifications and deliver Product Requirement Documents (PRD) .
2. Market Expansion: Identify potential market segments and emerging customer needs. Formulate breakthrough strategies to drive rapid expansion into new markets and user bases.
3. Research & Analysis: Conduct in-depth competitive research, industry trend analysis, and target customer requirement analysis to provide data-driven support for product development decisions.
4. Project Execution: Coordinate with R&D, Design, Supply Chain, and Sales departments to ensure efficient progress and on-time delivery of product development projects.
5. Go-to-Market Strategy: Work closely with the Marketing department to define product go-to-market strategies and drive the execution of market promotion activities.
6. Iteration & Feedback: Collect market feedback and collaborate closely with the After-Sales department to gather customer insights, optimizing and refining products for continuous iteration.

Job Requirements:

1. Education: Master’s degree or above in Mechatronics, Mechanical Engineering, Measurement & Control Technology and Instrumentation, Automotive Engineering, or related fields.
2. Experience: 3+ years of experience in the sensor or robotics industry. Familiarity with relevant industry standards for sensors and robotics.
3. Technical Skills: Proficient in sensor testing and calibration techniques. Hands-on experience with relevant laboratory environments and testing equipment.
4. Preferred Experience: Experience in the structural design of force/torque sensors for industrial robots or collaborative robots (cobots) is highly preferred.
5. Software Proficiency: Skilled in design software such as SolidWorks / NX (UG) . Capable of performing mechanical analysis using FEA (Finite Element Analysis) tools like ANSYS.

Job Responsibilities:

1. Design & Development: Design and develop single-axis joint torque sensors and multi-axis torque sensor products. Responsibilities include sensor structure design, mechanical simulation (FEA), manufacturing process definition, and calibration/testing procedures.
2. Validation & Compliance: Define and execute testing, validation, and calibration plans for sensor products to ensure compliance with performance specifications and industry standards.
3. Technical Support: Troubleshoot technical issues encountered by customers or on the production line, providing expert technical support and solutions.
4. Innovation & Trends: Track and analyze market and technology trends to drive technological innovation and advancement in the company’s force and torque sensing domain.

Job Responsibilities:

1. Trial Production Management: Responsible for the New Product Introduction (NPI) of humanoid robot and collaborative robot joint modules. Lead the entire process management from engineering prototype validation to low-volume pilot production.
2. Design for Manufacturing (DFM): Conduct manufacturability reviews for joint modules (integration of motors, drivers, and reducers). Lead the development of assembly processes, testing protocols, and fixtures/tooling.
3. Cross-Functional Troubleshooting: Serve as a technical core member, collaborating with R&D, Quality, and Production departments to rapidly resolve technical, process, and material issues encountered during pilot builds.
4. Handover & Documentation: Complete all required technical documentation during the NPI phase and ensure a smooth transition and handover to the mass production team.

Job Requirements:

1. Education: Bachelor’s degree or above in Mechanical Engineering, Automation, or related fields.
2. Experience: 3+ years of experience in NPI or Manufacturing Engineering, including at least 1 year specifically focused on the development and trial production of precision mechatronic systems such as robotic joint modules or servo actuators.Candidates with experience in humanoid or collaborative robot joints are highly preferred.
3. Technical Expertise: Proficient in the structure, assembly processes, and testing methodologies of joint modules. Capable of independently leading multiple trial production runs through EVT (Engineering Verification Test) , DVT (Design Verification Test) , and PVT (Process Verification Test) stages.
4. Engineering Skills: Skilled in using CAD software for drawing reviews. Must possess excellent hands-on ability and strong complex problem-solving skills.
5. Soft Skills: Strong communication and coordination abilities with a collaborative team spirit. Capable of thriving in a fast-paced R&D and trial production environment.

Job Requirements:

1. Education: Bachelor’s degree or above in Mechanical Engineering, Automation, Computer Science, or related fields.
2. Programming Skills: Strong programming foundation with proficiency in C++ and a solid understanding of PLC ladder logic.
3. Communication Protocols: Proficient in various robot communication applications, primarily Fieldbus and Ethernet protocols.
4. Robotics Fundamentals: Solid understanding of robot control fundamentals and familiarity with robot kinematics.
5. System Experience: Familiarity with collaborative or industrial robot systems. Candidates with hands-on experience using the Four Major Families of industrial robots or well-known collaborative robot brands are highly preferred.

Job Responsibilities:

1. Application Development: Drive the expansion of industrial robots into diverse industry applications, including grinding/polishing, assembly, welding, inspection, and more.
2. On-Site Deployment: Perform on-site robot programming, debugging, and customer training to fulfill specific client application requirements.
3. Documentation: Author and compile corresponding technical documentation and user manuals.
4. Product Feedback & Improvement: Collaborate with the R&D department to provide feedback for reverse improvements and performance enhancements. Provide reliable reference data to support the early-stage development of new robotic products.
5. Marketing Support: Assist the Marketing department with product application demonstrations, promotional activities, and video production/shooting.

Job Responsibilities:

1. Algorithm Development: Responsible for the research, development, and deployment of LiDAR/Visual SLAM algorithms.
2. Core Modules: Implement core functionalities including map construction, localization, and loop closure detection.
3. Optimization: Adapt and optimize algorithms for mobile robot application scenarios to enhance performance.
4. Deployment & Collaboration: Collaborate with hardware and system teams to ensure successful deployment and debugging of algorithms on actual robotic platforms.

Job Requirements:

1. Education: Master’s degree or above in Computer Science, Automation, Robotics, or related fields.
2. SLAM Frameworks: Familiarity with common SLAM frameworks such as ORB-SLAM, LIO-SAM, Cartographer, etc.
3. Programming Skills: Proficiency in C++/Python programming. Familiarity with ROS/ROS2.
4. Preferred Experience: Project experience with autonomous vehicles or drones is preferred.

Job Responsibilities:

1. Algorithm R&D: Responsible for the research and development of visual algorithms including object detection, recognition, tracking, and segmentation.
2. Perception System: Participate in the construction of robot perception systems, integrating data from multi-modal sensors.
3. Deployment: Deploy algorithms onto embedded or edge computing platforms.

Job Requirements:

1. Education: Master’s degree or above in Mechanical Engineering, Computer Science, Artificial Intelligence, Electronic Information, or related fields.
2. Technical Skills: Familiarity with deep learning frameworks (PyTorch). Proficient in classic and state-of-the-art visual algorithms (e.g., YOLO, SAM, VGGT, etc.).
3. Project Experience: Experience in robotics, drones (UAV) , or industrial vision projects is highly desirable.

Preferred Qualification (Bonus):

• Availability for early internship prior to graduation is a strong plus.

Job Responsibilities:

1. Algorithm R&D: Responsible for the research and development of robot intelligent control algorithms based on Reinforcement Learning (RL) .
2. Simulation & Transfer: Build simulation environments and implement Sim-to-Real (Real2Sim) policy training and transfer.
3. Deployment & Testing: Support the application and testing of algorithms on physical robotic platforms in the real world.

Job Requirements:

1. Education: Master’s degree or above in Artificial Intelligence, Control Theory, Computer Science, or related fields.
2. Technical Stack: Familiarity with common Reinforcement Learning frameworks. Proficiency in Python and experience with PyTorch.
3. Simulation Experience: Experience with simulation platforms such as Isaac Gym, MuJoCo, or Gazebo is preferred.
4. Research Output: Candidates with practical project experience or relevant academic publications are preferred.

Preferred Qualification (Bonus):

• Availability for early internship prior to graduation is a strong plus.

Core Responsibilities:

1. Module Development: Develop functional modules for robotic arm motion control, trajectory planning, and teleoperation based on ROS (ROS1/ROS2) .
2. Hardware Integration: Integrate robotic arm hardware with ROS drivers to achieve coordinated control with sensors (e.g., force/torque sensing and vision systems).
3. Simulation & Optimization: Develop robotic arm simulation environments (e.g., MoveIt, Isaac Sim) and optimize the performance of motion planning algorithms.
4. Real-World Problem Solving: Troubleshoot and resolve issues related to real-time performance, precision/accuracy, and collision detection in practical robotic arm applications.
5. Documentation & Support: Author technical documentation and support the deployment and debugging of robotic arm systems.

Job Requirements:

1. Education & Experience: Master’s degree or above in Computer Science, Robotics, Automation, or related fields. Proven hands-on development experience with robot simulation platforms such as Isaac Sim, MuJoCo, PyBullet, or similar environments.
2. Theoretical Foundation: Deep understanding of robotics fundamentals, including rigid body dynamics and kinematics. Capable of independently implementing robot modeling and control algorithm simulations. Excellent proficiency in Python and familiarity with the Linux development environment.
3. Problem-Solving & Drive: Strong analytical and problem-solving skills. Highly self-motivated with a genuine passion for technology and the resilience to handle intense technical challenges.

Job Responsibilities:

1. Simulation Environment Development: Lead the construction of robot simulation environments based on Isaac Sim / MuJoCo. This includes robot modeling, scene construction, sensor simulation, and physics engine optimization to ensure high fidelity and computational efficiency.
2. Algorithm Validation & Sim-to-Real Transfer: Implement, validate, and innovate robot control, motion planning, and Reinforcement Learning (RL) algorithms within the simulation. Design strategies such as Domain Randomization to lead the efficient transfer of algorithms from Simulation to Real-World (Sim-to-Real) robotic platforms.
3. Synthetic Data Pipeline: Build automated, large-scale multi-modal synthetic data pipelines to provide high-quality data and simulation verification platforms for Vision-Language Model (VLM) training and robot task evaluation.
4. Tooling & Optimization: Develop efficient simulation tools and plugins. Utilize parallel simulation, GPU acceleration, and other advanced techniques to continuously enhance the throughput and reliability of large-scale simulation tasks.

Job Responsibilities:

1. System Architecture & Development: Responsible for the backend architecture design and development of multimedia/multi-modal data acquisition and management systems.
2. Data Storage Solutions: Design and implement data storage solutions, including database systems and large file storage.
3. Interface Development: Develop high-reliability, high-throughput data ingestion pipelines and service interfaces (APIs).
4. Operations & Maintenance: Participate in server deployment, system operations monitoring, and data lifecycle maintenance.
5. Data Management Features: Support features such as data version control, time indexing, and playback requirements.

Job Requirements:

1. Experience: 2+ years of backend development experience.
2. OS Environment: Proficiency with the Linux server environment.
3. Programming Languages: Skilled in at least one backend language: Python / Go / C++.
4. Database Skills: Familiarity with database design and performance optimization.
5. Project Background: Experience in building systems or data platforms in real-world projects.

Preferred Qualifications (Bonus):

1. Experience with video/audio or real-time data stream processing.
2. Familiarity with object storage or large file management.
3. Experience in robotics, IoT, or data acquisition systems.
4. Familiarity with Docker and containerized deployment.

Job Responsibilities:

1. Algorithm R&D: Responsible for the research and development of robot intelligent control algorithms based on Reinforcement Learning (RL) .
2. Simulation & Transfer: Build simulation environments and implement Sim-to-Real (Real2Sim) policy training and transfer.
3. Deployment & Testing: Support the application and testing of algorithms on physical robotic platforms in the real world.

Job Requirements:

1. Education: Master’s degree or above (expected graduation 2026) in Artificial Intelligence, Control Theory, Computer Science, or related fields.
2. Technical Stack: Familiarity with common Reinforcement Learning frameworks. Proficiency in Python and experience with PyTorch.
3. Simulation Experience: Experience with simulation platforms such as Isaac Gym, MuJoCo, or Gazebo is preferred.
4. Research Output: Candidates with practical project experience or relevant academic publications are preferred.

Preferred Qualification (Bonus):

• Availability for early internship prior to graduation is a strong plus.

Job Requirements:

1. Education & Background: Bachelor’s degree or above with relevant experience in robotic arm system development.
2. Product Experience: Familiarity with robot control software design. Candidates with experience in the successful mass production of complete robotic arm products are highly preferred.
3. Technical Skills: Proficiency in C and C++ programming languages. Familiarity with common algorithms and techniques used in robot control.
4. Development Environment: Proficiency in Linux/Windows development environments.
5. Soft Skills: Strong interpersonal and communication skills, excellent teamwork abilities, a high sense of responsibility, and a solid understanding of professional corporate standards.

Job Responsibilities:

1. Analysis & Development: Responsible for the analysis of robotic arm business requirements and functional module design. Author design documentation and implement corresponding code.
2. Algorithm Collaboration: Collaborate with Algorithm Engineers to deliver software products that meet functional and performance specifications.
3. Testing Collaboration: Coordinate with Test Engineers to complete comprehensive testing of the robot controller system.
4. Field Support: Assist Technical Support Engineers with on-site equipment upgrades, maintenance, and troubleshooting.

Job Responsibilities:

1. Creative Direction: Responsible for the overall creative planning and stylistic direction of brand and product video content.
2. Script & Storyboard: Produce video creative proposals, scripts, and storyboard designs.
3. Production & Shooting: Organize and execute video shoots, including product feature demonstrations, application scenario capture, and interviews.
4. Post-Production: Manage video editing, motion graphics/packaging, and final quality control of the finished product.
5. Cross-Platform Adaptation: Adapt video content for different platforms, including official website, social media, launch events, and overseas channels.
6. Cross-Functional Collaboration: Collaborate with Brand, Product, and Social Media teams to enhance the reach and impact of video content.

Job Requirements:

1. Education: Bachelor’s degree or above. Majors in Film/TV Production, Directing, Animation, Media/Communications, or related fields are preferred.
2. Experience: 3+ years of experience in technology or brand video content production.
3. End-to-End Execution: Proven hands-on ability to manage a complete video project from concept/planning to final delivery.
4. Technical Skills: Proficiency in mainstream shooting equipment and editing software/tools.
5. Aesthetic & Interest: Strong interest and aesthetic judgment in technology, robotics, and futuristic themes.

Job Description:

1. Technical Bridge: Serve as the core bridge between R&D, Sales, and Marketing. Maintain a deep understanding of the technical principles, system capabilities, and key specifications of the company’s humanoid robots and embodied intelligence products.
2. Value Translation: Translate complex technical language into clear, persuasive market messaging and compelling value propositions.
3. Positioning & Messaging: Identify Unique Selling Points (USPs) , define product positioning, establish information architecture, and unify external communication standards.
4. Collateral Development: Create standardized product marketing collateral, including product brochures, presentation decks, and official website product page content.
5. Market Intelligence: Conduct ongoing competitive analysis and industry research, delivering insightful market analysis reports.
6. Application Enablement: Explore innovative applications for products in industrial, scientific research, and service scenarios, and develop corresponding case studies.
7. Go-to-Market Support: Support key market milestones including new product launches, client communications, and sales enablement initiatives.

Job Requirements:

1. Education: Bachelor’s degree or above. Backgrounds in Robotics, Automation, Electronic Engineering, Computer Science, or Artificial Intelligence are preferred.
2. Experience: 3+ years of experience in B2B technology product marketing, robotics, or AI-related product marketing.
3. Core Skills: Ability to rapidly grasp technical logic, with excellent structured communication and copywriting skills.
4. Mindset: Strong product thinking, user-centric perspective, and business acumen.
5. Preferred: Experience in humanoid robotics, embodied intelligence, or industrial automation is highly preferred.

Job Responsibilities:

1. Product Sales: Responsible for the sales of humanoid robotic arms and integrated joint modules.
2. Market Development: Drive customer acquisition within the embodied intelligence industry, including but not limited to humanoid robotics companies, Large Model (AI) enterprises, embodied intelligence training facilities, and large-scale manufacturing enterprises.
3. Channel Management: Establish and maintain a regional partner ecosystem. Actively promote products and provide robust support to ensure successful project implementation.

Job Requirements:

1. Education: Associate degree or above (unified admissions). Degrees in Mechanical Engineering, Automation, Computer Science, or related fields are preferred.
2. Experience: 1+ year of sales experience in the embodied intelligence sector, or experience selling robotic arms, sensors, industrial automation equipment, or smart hardware products.
3. Personal Attributes: Highly self-motivated with exceptional learning agility. Must be resilient, sharp-minded, and possess strong execution skills.
4. Passion: Genuine interest and sustained passion for the field of Embodied Intelligence.
5. Bonus Qualification: Familiarity with We-media / Social media operations is a plus.

Job Requirements:

1. Education: Bachelor’s degree or above in Electronic Information, Automation, Mechanical Engineering, Artificial Intelligence, Robotics Engineering, Computer Science, or related fields.
2. Experience: 1+ year of experience with collaborative robots. Solid understanding of robot control fundamentals. Experience with embodied intelligence products is preferred.
3. Programming & Development: Familiarity with C++ and Python programming. Understanding of Linux and ROS development environments. Capable of performing functional testing, API calls, and necessary secondary development.
4. Vision Systems: Familiarity with vision system application integration and communication protocols. Understanding of stereo vision / binocular vision principles and applications.
5. AGV Deployment: Familiarity with on-site AGV application deployment. Possesses the ability to perform on-site debugging and maintenance of AGVs and their scheduling/dispatch systems.
6. Simulation Software: Familiarity with robot simulation software. Capable of setting up robotic workstations and performing trajectory planning.

Job Responsibilities:

1. Pre-Sales Technical Support: Provide pre-sales technical support for embodied intelligence applications. Deeply understand customer requirements and formulate application solutions based on embodied intelligence technologies.
2. On-Site Deployment: Responsible for the on-site deployment, debugging, application implementation, and customer training for embodied intelligent robots/systems.
3. Technical Troubleshooting: Provide technical consultation, remote support, and on-site assistance. Diagnose and resolve customer issues in a timely manner.
4. Site Investigation & Research: Collaborate with the sales team to conduct customer site visits, gather relevant requirements and data, and research application processes.
5. Product Feedback & Improvement: Assist the R&D department with reverse product improvement to enhance performance. Provide reliable reference data to support early-stage robot product development.
6. Documentation: Author and compile corresponding technical documentation and user manuals.

Job Requirements:

1. Language & Compliance: Fluent in English, capable of conducting technical solution discussions and authoring documentation. Must possess a valid U.S. visa / Green Card or be able to reside permanently in the U.S. Prior experience in overseas technical roles (e.g., Silicon Valley AI/Robotics companies) is preferred.
2. Professional Background: Bachelor’s degree or above in Mechanical Engineering, Automation, Computer Science, Artificial Intelligence, or related fields. Must have coursework or project experience in AI/ML.
3. Technical Skills:
   • Programming: Proficient in C++ / Python. Ability to rapidly develop and debug AI interfaces.
   • AI & Perception: Familiarity with Computer Vision (OpenCV) , Sensor Fusion (LiDAR/IMU) , and Reinforcement Learning fundamentals. Capable of analyzing AI decision-making performance.
   • Platforms & SDKs: Mastery of Embodied Intelligence platform SDKs (e.g., NVIDIA Isaac, ROS 2). Experience with API testing and secondary development.
   • Communication Protocols: Proficient in robot communication protocols (ROS 2 Topic/Service, MQTT, Ethernet). Ability to handle multi-device data streams.
4. Soft Skills:
   • AI Productization Mindset: Ability to translate technical solutions into clear business value for customers.
   • Cross-Functional Collaboration: Strong ability to communicate effectively with AI R&D and Product teams.
     Note: “Embodied Intelligence Experience” refers specifically to projects involving the integration of AI models (e.g., Object Detection, Path Planning) with physical hardware, rather than purely mechanical control experience.

Job Responsibilities:

1. Overseas Embodied Intelligence Technical Support:
   • Deploy AI-driven Embodied Intelligence solutions (e.g., full-body humanoid robots, humanoid robotic arms) for U.S. customers.
   • Provide remote and on-site support covering system selection, model tuning, troubleshooting, and performance optimization.
   • Author English technical documentation (including AI model descriptions and API user guides) to enable rapid customer onboarding.
2. AI Solution Implementation & Promotion:
   • Partner with the Sales team to conduct technical roadshows. Design Embodied Intelligence application proposals tailored to client scenarios (e.g., Vision-based Autonomous Sorting Systems).
   • Conduct deep-dive research into customer pain points (e.g., environmental adaptability, decision latency) to drive AI algorithm iteration.
3. Product Feedback Loop & Innovation:
   • Act as a technical bridge, synchronizing customer feedback (e.g., requirements for AI model robustness) with the R&D team. Lead requirement transformation and solution validation.
   • Participate in reverse improvement of Embodied Intelligence products (e.g., optimizing path planning algorithms using customer field data) to enhance system reliability in complex environments.
4. Industry Scenario Expansion:
   • Lead the implementation of Embodied Intelligence in cutting-edge scenarios (e.g., Human-Robot Collaborative Assembly, Autonomous Navigation in Dynamic Environments, Multi-modal Interaction). Deliver industry-specific solution case studies.

Job Requirements:

1. Education & Experience: Full-time Bachelor’s degree or above. 3+ years of experience in robot control system development. Proven hands-on project experience with humanoid robots, collaborative robots, or similarly complex motion control systems.
2. Linux Proficiency: Solid Linux development skills. Proficient in the Linux environment for development, compilation, debugging, and deployment. Familiarity with build toolchains such as CMake / Makefile.
3. ROS 2 & Communication: Familiarity with the ROS 2 framework and mastery of common tools (e.g., ros2 topic, ros2 node, rqt) and debugging techniques. Proficient in serial communication (UART/RS485) and network communication (TCP/UDP) . Skilled in using debugging tools such as minicom, Wireshark, and tcpdump.
4. Real-Time & Fieldbus: Deep understanding of Real-Time Operating System (RTOS) concepts. Experience in EtherCAT master development and debugging.

Job Responsibilities:

1. Core Software Development: Responsible for the overall software architecture design, module partitioning, and system integration/deployment of the robot.
2. Algorithm Research & Implementation: Participate in the research, development, and integration of core robot algorithms, including but not limited to forward/inverse kinematics, dynamics modeling, trajectory planning, vibration suppression, and force/torque control algorithms.
3. Full-Cycle R&D Support: Participate in the complete R&D lifecycle from requirements analysis and design to coding and test validation. Collaborate with the hardware team to complete sensor fusion, driver debugging, and full-system integration testing.

Job Requirements:

1. Experience: 5+ years of experience in circuit design. Candidates with R&D and design experience in servo drives or brushless DC (BLDC) motor drive control are highly preferred.
2. Education: Bachelor’s degree or above in Power Electronics, Electrical Automation, or related fields.
3. Hardware Proficiency: Proficient in the hardware R&D process and the identification/application of various electronic components. Skilled in using various instruments, meters, and equipment. Basic understanding of assembly materials and their applications.
4. Theoretical Foundation: Solid foundation in power electronics fundamentals. Strong capability in designing various electronic circuits with proficiency in calculating and determining circuit parameters. Skilled in using PCB layout software and related tools.
5. Language Skills: Ability to read and comprehend English technical documents and professional literature effectively.

Job Responsibilities:

1. Hardware Architecture & Specification: Design hardware technical solutions based on product definitions. Conduct feasibility analysis, key component selection, and simulation calculations. Develop hardware technical specifications and review hardware technical proposals.
2. Schematic Design: Design circuit schematics based on hardware specifications. Conduct feasibility analysis, schematic drawing, component selection, and compilation of design calculation documentation.
3. PCB Layout: Execute PCB placement and routing design, PCB drawing, and PCB design review.
4. Board & System Debugging: Design and implement board-level debug and evaluation plans for hardware circuit boards. Design and implement debug and evaluation plans for the overall product hardware system. Identify and perform root cause analysis of hardware design issues.
5. Troubleshooting: Diagnose and resolve product hardware faults and failures, including root cause analysis.
6. Documentation: Compile, archive, distribute, and manage all technical documentation related to assigned tasks (e.g., design proposals, schematics, evaluation reports, test wiring diagrams/data logs).
7. Production Support: Handle, guide, and resolve hardware design issues encountered during the trial production / NPI phase.

Job Requirements:

1. Education: Bachelor’s degree or above in Industrial Automation, Mechatronics, Control Engineering, or Electrical Engineering.
2. Experience: 3+ years of experience in FOC (Field-Oriented Control) development for BLDC (Brushless DC) or PMSM (Permanent Magnet Synchronous Motors) .
3. Hardware & Theory: Familiarity with motor drive related MCUs (e.g., STM32). Solid understanding of motor control theory.
4. Control Algorithms: Mastery of servo motor control algorithms (e.g., FOC, SVPWM). Proficient in PID control, digital filters, observers, and other servo control techniques. Capable of independently developing drive control software.
5. Programming & Protocols: Proficiency in C programming. Familiarity with common communication protocols (e.g., TTL, CAN, Serial/UART, I2C, SPI, Ethernet).
6. Hardware Comprehension: Familiarity with the working principles of BLDC and PMSM motors. Understanding of inverter circuit principles and ability to read circuit schematics.
7. Fieldbus Protocols: Familiarity with EtherCAT and CAN fieldbus protocols.

Job Responsibilities:

1. Algorithm R&D: Responsible for the research and development of control algorithms and software architecture design for integrated joint modules.
2. Coding & Debugging: Write and debug drive control software based on the defined design specifications.
3. Testing & Quality: Proficient in using debugging tools such as oscilloscopes. Responsible for hardware circuit testing and quality assurance/management.

Job Requirements:

1. Education & Experience: Bachelor’s degree or above in Computer Science, Robotics, Automation, Control Engineering, Mechatronics, or related fields. 2+ years of relevant work experience preferred.
2. Software & Frameworks: Familiarity with ROS/ROS 2. Proficiency in C/C++ and Python programming with strong software engineering practices.
3. Theoretical Foundation: Deep understanding of robot kinematics, dynamics, and control theory. Experience in controlling multi-DOF robots and capable of solving complex motion control problems.
4. Planning & Control Algorithms: Proficiency in path/trajectory planning and modern control theory (e.g., MPC, Impedance Control, Force Control). Ability to optimize motion control algorithms for efficiency and robustness.
5. Simulation & Libraries: Familiarity with mainstream robot simulation platforms such as NVIDIA Isaac Sim, MuJoCo, PyBullet, etc. Proficient in using dynamics libraries such as Pinocchio.

Job Responsibilities:

1. Algorithm R&D: Responsible for the research and development of robot motion control algorithms, including the design and optimization of core modules such as trajectory planning, force/impedance/compliance control, and whole-body coordinated control.
2. Performance Optimization: Collaborate closely with the Embodied AI team to analyze and resolve critical control issues (e.g., accuracy, jitter, real-time performance, stability), thereby enhancing overall robot motion performance.
3. Deployment & Transfer: Drive the deployment, debugging, and continuous optimization of control algorithms on physical robotic platforms, ensuring effective Sim-to-Real transfer.

Job Requirements:

1. Education & Experience: Bachelor’s degree or above in Computer Science, Robotics, Automation, Control Engineering, Mechatronics, or related fields. 3+ years of relevant work experience preferred.
2. Software & Frameworks: Familiarity with ROS/ROS 2. Proficiency in C/C++ and Python programming with strong software engineering practices.
3. LiDAR SLAM & Sensor Fusion: Familiarity with the fundamental principles of LiDAR SLAM. Proficient in algorithms for multi-sensor calibration, fusion, filtering, and optimization. Experience with visual-LiDAR data fusion (e.g., tightly-coupled and loosely-coupled approaches). Capable of solving engineering issues such as time synchronization and spatial calibration.
4. SLAM Frameworks: Familiarity with mainstream LiDAR SLAM frameworks (e.g., Cartographer, LIO-SAM). Deep understanding of core modules (front-end odometry, back-end optimization, loop closure detection) with the ability to perform secondary development.

Job Responsibilities:

1. SLAM Algorithm R&D: Responsible for the design, development, and debugging of 2D/3D LiDAR SLAM algorithms for mobile robots. Support product deployment, technical troubleshooting, and iterative optimization.
2. Multi-Sensor Fusion: Responsible for multi-sensor fusion localization, integrating data from multiple LiDARs, cameras, IMUs, RTK, and wheel odometry. Perform calibration of relevant sensors.
3. Mapping & Localization: Develop algorithms for indoor/outdoor map construction, autonomous localization, and object recognition. Possess foundational knowledge in navigation, path planning, and control.

Job Requirements:

1. Programming Languages: Proficient in development using C/C++, Rust, Go, or Python.
2. Video Codecs: Familiarity with H.264/H.265 video coding standards and related concepts (e.g., GOP structure, Bitrate Control).
3. Real-Time Protocols: Familiarity with real-time transmission protocols such as WebRTC or RTP/RTCP.
4. Networking Fundamentals: Solid understanding of networking basics (e.g., UDP, Congestion Control, Bandwidth Estimation).
5. Low-Latency Optimization: Proven experience in optimizing low-latency (<200ms) audio/video systems.

Job Responsibilities:

1. System Development: Build real-time video capture and transmission systems based on the NVIDIA Jetson platform and CSI cameras.
2. Pipeline Optimization: Construct and optimize an end-to-end low-latency video processing pipeline (Capture -> Encode -> Transmit -> Decode -> Render).
3. Low-Latency Streaming: Implement end-to-end video transmission with latency under 150ms using WebRTC / RTP protocols.
4. Encoding & Network Tuning: Optimize video encoding parameters (e.g., Bitrate Control) and network transmission strategies (e.g., Packet Loss Resistance, Jitter Buffer) to ensure smooth streaming under poor network conditions.
5. Multi-Platform Support: Support video access and streaming across multiple terminals, including PC, Mobile Devices, and Embedded Systems.