Head of Dexterous HandDevelopmentDexterous Hand R&DShenzhen

Responsibilities

• Own the dexterous hand product line end to end: define the R&D plan, technical roadmap and release cadence from the product positioning, and stay accountable for schedule, cost, quality and delivery.
• Lead full-stack development across mechanical structure, tactile sensing, actuation, force control and motion control; drive the hard problems through prototyping and into mass production, improving grasp precision, compliant control and stability.
• Work directly with customers, marketing and business teams: break down requirements, tune prototypes, validate performance, and produce the full document set (R&D reports, specifications, user manuals). Keep iterating on the product from real deployment feedback.
• Build and run the R&D group: set up development process and test standards, own task allocation, technical reviews and team growth, and coordinate internal and external supply chain and partners.

Requirements

• Bachelor's degree or above in mechanical engineering, automation, robotics or a related field, with 5-10 years of R&D and project management experience on dexterous hands or robots. Shipped products a plus.
• Deep command of the full dexterous hand development cycle: structural design, compliant control, hybrid force-position control, simulation, sensor calibration. Familiar with mainstream solutions, key components and mass-production processes, and able to iterate technical plans independently.
• Strong project ownership, problem solving and execution; effective at cross-team communication, resource coordination and team management.

Senior Robotics Motion Control EngineerDevelopmentSuzhou

Responsibilities

• Develop and deploy whole-body motion control algorithms for wheeled humanoid robots, covering the mobile base, torso, dual arms, and end effectors (grippers/dexterous hands).
• Develop and optimize robotic kinematics and dynamics modeling tools, perform dynamic parameter identification, and ensure algorithm accuracy and stability on physical robots.
• Implement core algorithms, including Inverse Kinematics (IK) and optimization-based control (QP/MPC), and validate and fine-tune them on robotic platforms.
• Develop closed-loop motion and force control solutions for real-world tasks, including manipulation, material handling, and collaborative operations.
• Collaborate closely with hardware, AI model, and systems engineering teams to accelerate the transition of algorithms from simulation to physical robots.

Requirements

• Master's degree or above in Robotics, Automation, Control Engineering, Computer Science, or a related field, with 3–5 years of relevant experience or equivalent practical engineering expertise.
• Strong foundation in robotics, including kinematics, dynamics modeling, and control theory, with the ability to translate theoretical concepts into functional code.
• Proficiency in C++, with strong coding practices and software engineering skills; familiarity with ROS/ROS 2 development.
• Hands-on experience debugging physical robots, with the ability to analyze and resolve complex issues involving interactions between control algorithms and hardware.
• Familiarity with robotics motion control tools and frameworks, including KDL, OCS2, Pinocchio, and MuJoCo, with the ability to independently implement and optimize control algorithms.
• Results-oriented, responsible, and collaborative, with the ability to work effectively under the demands of physical robot testing and debugging.

Preferred Qualifications

• Experience implementing QP/MPC controllers or whole-body coordinated control on physical robotic platforms.
• Hands-on experience with motion and force control for dexterous hands or robotic grippers.
• Experience in robotics competitions or open-source robotics projects, such as RoboCup or contributions to ROS control libraries.

Robotics Navigation Algorithm EngineerDevelopmentSuzhou

Responsibilities

Global and Local Path Planning

• Develop, adapt, optimize, and extend global path planning algorithms (A*, Dijkstra, Hybrid A*, RRT*) for wheeled robots based on the ROS 2 Nav2 framework.
• Implement local trajectory planning and dynamic obstacle avoidance algorithms (DWA, TEB, MPC, MPPI), taking into account the kinematic constraints of wheeled mobile platforms.
• Address path smoothness, feasibility, and real-time performance challenges in scenarios involving narrow passages, dynamic obstacles, and unknown environments.
• Extend layered costmaps to support the classification and management of static and dynamic obstacles, including pedestrians, AGVs, and industrial equipment.

Autonomous Obstacle Avoidance and State Estimation

• Develop LiDAR-based obstacle detection, tracking, and collision risk prediction capabilities.
• Implement safe exploration and frontier exploration strategies for unknown environments.

Autonomous Charging and Behavior Planning

• Design and implement complete autonomous charging workflows using Behavior Trees, including low-battery alerts, charging station search, docking guidance, charging handshake, exception retries, and task resumption.
• Achieve high-precision docking with charging stations, primarily using LiDAR with vision-assisted fine positioning.
• Develop task scheduling and fault recovery strategies to handle path blockage and replanning, sensor degradation, and autonomous recovery from failures during extended operation.

System Integration and Performance Optimization

• Deploy, customize, and optimize navigation modules based on ROS 2, ensuring stable navigation and control cycles for wheeled mobile platforms.
• Validate navigation stability and reliability during long-duration operations in factory environments, and diagnose and resolve navigation issues encountered on-site.

Project Focus: This role focuses on production-grade, reliable navigation for indoor wheeled mobile robots operating in factory environments, rather than purely academic research or simulation-based projects.

Requirements

• Bachelor's or Master's degree in Computer Science, Automation, Robotics, or a related field. A Master's degree is preferred. Bachelor's degree holders must have end-to-end experience deploying mobile robots in mass-production applications.
• At least 3 years of experience developing navigation systems for wheeled mobile robots, with proven experience in product development, real-world deployment, and long-duration on-site operations. Experience with Autonomous Mobile Robots (AMRs) or commercial service robots is preferred. Autonomous vehicle experience may be considered, while humanoid robot planning and control experience alone is not a primary match for this role.
• Strong expertise in the ROS 2 Nav2 framework, including costmaps, planners, controllers, and Behavior Trees across the complete navigation stack. Experience with framework customization and plugin development is required.
• Strong C++ programming skills, familiarity with real-time development on Linux, and experience in algorithm performance profiling, troubleshooting, and optimization.
• Experience with LiDAR point cloud processing and knowledge of mainstream SLAM mapping and localization algorithms, such as Cartographer and Gmapping, with the ability to integrate SLAM outputs into navigation systems.

Preferred Qualifications

• Hands-on experience deploying nonlinear controllers such as MPC and MPPI in real-world robotic applications.
• Experience developing autonomous charging systems and complex Behavior Tree-based workflows.
• Familiarity with LiDAR-inertial SLAM algorithms such as LIO-SAM.
• Project experience in factory environments or complex, dynamic environments where humans and robots operate together.

Senior Test Development EngineerDevelopmentSuzhou

Responsibilities

Test Framework and Platform Development

• Design, develop, maintain, and manage versions of test frameworks for complete robotic systems, subsystems, and software, building reusable test components.
• Develop capabilities for test execution, log collection, data parsing, result validation, and report generation based on test plans and the needs of specialized testing teams.

Automated Test Development

• Convert stable, repetitive, and well-defined test scenarios into automated scripts and tools to improve regression testing and batch validation efficiency.
• Support automated testing for interfaces, communication protocols, device control, performance monitoring, and reliability testing, with robust timeout handling, retry mechanisms, termination controls, and exception recovery.
• Establish a unified testing toolchain for bipedal and wheeled dual-arm robot projects, ensuring that scripts, configurations, logs, and results are traceable and reproducible.

Data Management and Engineering Integration

• Design test data structures and result validation rules to support key metric calculations, trend analysis, and anomaly alerts, reducing errors associated with manual data processing.
• Integrate testing workflows with version control, task management, defect tracking, and knowledge management systems as needed, linking test results to project delivery status.

Maintenance, Support, and Technical Documentation

• Maintain automated test scripts and testing platforms, troubleshoot issues, address compatibility challenges, and develop user documentation.
• Contribute to testing standards and automation coverage initiatives, train specialized test engineers on tool usage, and continuously collect feedback for improvement.

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, Automation, Electronic Information Engineering, or a related field.
• At least 3 years of experience in test development, automated testing, or test platform development. Experience testing robotics, embedded systems, control systems, or hardware devices is preferred.
• Proficiency in Python, with working knowledge of one or more additional programming or scripting languages, such as Shell or C/C++.
• Familiarity with Linux, Git, API testing, log collection, data parsing, and automated testing frameworks; understanding of continuous integration (CI) practices.
• Knowledge of ROS 2, CAN bus, serial communication, network protocols, device control, or robotic software testing is a plus.
• Strong coding practices, modular design skills, exception handling capabilities, and an emphasis on test maintainability.
• Strong engineering mindset and problem-solving skills, with a focus on tool stability, data reliability, and technical documentation, and a proactive approach to supporting specialized testing teams.

Training Infrastructure Expert EngineerDevelopmentBeijing

Job Overview

Lead the development of the company's training infrastructure for embodied AI foundation models. This role will be responsible for building a full-stack infrastructure spanning large-scale multimodal data management, computational optimization, and distributed training, enabling efficient operation of GPU clusters with thousands of GPUs.

Key Responsibilities

Distributed Training Architecture and Acceleration

• High-Performance Training Frameworks: Design and optimize distributed training solutions based on mainstream frameworks such as Megatron, DeepSpeed, and FSDP.
• Large-Scale Cluster Scheduling: Manage and schedule GPU clusters, optimize inter-node communication strategies, resolve challenges in large-scale distributed training, and improve training throughput.

Multimodal Data Infrastructure

• Large-Scale Data Storage and Loading: Build high-performance data storage and on-demand loading systems for heterogeneous multimodal data in embodied AI, addressing I/O bottlenecks during training.
• Automated Data Pipelines: Develop automated data pipelines supporting version management and efficient retrieval of petabyte-scale (PB-scale) datasets.

Team Building and Technical Planning

• Build and lead a high-performance computing team.
• Define the technical roadmap for the company's future computing infrastructure.

Requirements

• At least 5 years of experience in AI infrastructure or large-scale foundation model training architecture.
• Deep understanding of CUDA or Triton programming and GPU architectures.
• Strong familiarity with mainstream distributed training frameworks, with hands-on experience managing and optimizing GPU clusters ranging from thousands to tens of thousands of GPUs.
• Solid knowledge of high-performance networking protocols and storage systems.

Senior Solutions ManagerProduct & SolutionsXiamen

Lead the end-to-end commercialization of embodied AI industry solutions, covering solution design, development, data collection, and real-world deployment, with a focus on standardization and scalable replication across industries.

Responsibilities

Industry Insights and Strategy

• Stay up to date with developments in embodied AI and understand business needs and challenges across industries such as manufacturing, logistics, and retail.
• Develop actionable implementation strategies based on industry trends and current product capabilities, and design differentiated, industry-specific solutions.

Solution Design and Development

• Independently lead end-to-end solution design, including scenario requirements analysis, hardware selection, software architecture, data collection quality standards, algorithm adaptation, and deployment and maintenance planning.
• Prepare high-quality pre-sales technical materials, including tender specifications, technical proposals, and project delivery plans.

Customer Project Support and Deployment

• Collaborate with sales teams on solution presentations, technical demonstrations, and customer discussions, clearly communicating solution value and supporting deal closure.
• Lead the entire project implementation lifecycle, including requirements alignment, technical handover, system integration and debugging, on-site deployment, acceptance testing, and final delivery.
• Manage project timelines, quality, and costs to ensure successful and timely delivery.
• Provide customer technical training and after-sales support, collect feedback, and continuously improve solutions.
• Develop industry case studies and best practices to support solution standardization and scalable deployment.

Data Operations and Management

• Lead data collection operations associated with the deployment of industry-specific embodied AI solutions.
• Manage data operations teams at training facilities, ensuring alignment with the evolving data requirements of embodied AI development.
• Identify and define foundation model pre-training data requirements across different industries, scenarios, and job functions while implementing industry solutions.
• Ensure data quality and achieve an annual data collection capacity of over 100,000 hours.

Requirements

• Bachelor's degree or above in Robotics Engineering, Automation, Computer Science, Artificial Intelligence, Electronic Information Engineering, or a related field, with at least 3 years of relevant work experience. Experience deploying humanoid or quadruped robots in real-world applications is preferred.
• Experience in autonomous driving products or embodied AI industry solutions is preferred. Previous experience at companies such as AgiBot or Galbot is a plus.
• Experience implementing and deploying internet-based SaaS products is preferred.
• Experience in embodied AI data operations is preferred.

Data Operations Specialist – POV & UMIDevelopmentBeijing

Responsibilities

Data Collection Planning

- Develop POV/UMI data collection plans based on project objectives and model training requirements, including workforce planning, equipment allocation, collection schedules, and capacity analysis reports.

Data Collection Operations

- Manage the end-to-end execution of POV/UMI data collection tasks, including task assignment, progress monitoring, and exception handling, ensuring timely delivery and compliance with data quality standards.

Data Quality Management

• Conduct routine data sampling and quality inspections, perform root cause analysis, and review data errors and omissions.
• Collaborate with algorithm teams to identify the root causes of data collection issues and improve collection procedures and workflows, enhancing data quality and increasing the proportion of usable data.

Data Collection Standards and SOP Development

• Develop technical specifications and Standard Operating Procedures (SOPs) for POV/UMI data collection.
• Provide training and technical support to data collection personnel, maintain knowledge bases, and continuously refine documentation and workflows to enable standardized, large-scale data collection.

Outsourcing and Vendor Management

- Manage the full lifecycle of external vendors providing data collection and processing services, including vendor qualification, task assignment, capacity scheduling, daily delivery monitoring, and monthly performance evaluations.

Platform Optimization and Feature Development

• Identify platform optimization opportunities and feature requirements based on operational needs.
• Collaborate with product and engineering teams to implement platform upgrades, conduct feature acceptance testing, and validate new releases.
• Leverage platform tools to improve operational efficiency and reduce manual labor costs.

Operational Standardization

- Apply a product-oriented mindset to transform operational experience into reusable processes, standardized management mechanisms, and scalable platform tools.

Requirements

• Bachelor's degree or above. At least 3 years of experience in data product operations or autonomous driving data mining is preferred. Experience designing mobile applications or mini-programs is a plus. Candidates with experience in autonomous driving, embodied AI, robotics, AIGC, mapping, or speech data are preferred.
• Familiarity with the embodied AI data production pipeline. Experience managing POV/UMI data projects is preferred, along with strong self-learning capabilities.
• Hands-on experience in vendor management, capacity scheduling, and quality evaluation, with the ability to establish standardized outsourced operations systems.
• Strong expertise in designing data collection procedures and producing technical documentation, with proven skills in workflow standardization, systematic process development, and efficiency optimization.
• Product-oriented mindset, with the ability to translate frontline operational insights into actionable strategies and product feature requirements, continuously driving improvements in operational efficiency.
• Strong analytical thinking, execution skills, and cross-functional communication abilities, with the capacity to manage multiple projects simultaneously. Detail-oriented, highly responsible, and able to perform effectively under pressure.

Director of Data OperationsDevelopmentBeijing

Responsibilities

Data Operations Strategy and Planning

• Develop medium- and long-term data operations strategies across all data categories, aligned with algorithm development roadmaps and business objectives.
• Lead annual data asset planning, production capacity allocation, and budgeting, with overall accountability for data delivery timelines, usable data rates, and unit costs.

End-to-End Data Production Operations

• Oversee the entire data production lifecycle, including data collection, annotation, processing, and delivery across autonomous driving, embodied robotics, AIGC/foundation models, mapping, speech, and multimodal data.
• Establish standardized mechanisms for task assignment, progress monitoring, exception handling, and acceptance testing to ensure timely, high-quality delivery across multiple concurrent projects.

Data Quality Management

• Build a comprehensive quality management system covering data collection, annotation, processing, and storage.
• Implement routine quality inspections, root cause analysis, and error reviews. Collaborate with algorithm teams to identify underlying issues and optimize data production processes, continuously improving usable data rates and reducing rework.

Data Production Standards and Process Optimization

• Lead the development and continuous improvement of data collection and annotation SOPs and acceptance criteria across different data categories.
• Establish reusable process templates, scenario libraries, and knowledge bases.
• Develop training systems for data collection and annotation personnel to enable standardized, large-scale data production.

Vendor Ecosystem Management

• Establish a comprehensive lifecycle management system for outsourced data collection and processing vendors, covering qualification, tiered management, task assignment, capacity scheduling, delivery monitoring, and monthly performance evaluations.
• Build a flexible vendor capacity pool and promote outcome-based pricing models tied to usable data volume and quality.

Data Operations Platforms and Tools

• Apply a product-oriented mindset to lead requirements definition and feature development for data operations platforms, including task scheduling, annotation, quality inspection, vendor management, and data asset management.
• Collaborate with product and engineering teams to implement platform enhancements, oversee acceptance testing, and manage production releases.
• Drive the digitalization, automation, and intelligent optimization of operational workflows to improve workforce productivity and reduce labor costs.

Team Development and Operational Governance

• Build the data operations organizational structure and competency framework, recruit and develop key talent, and establish OKRs, KPIs, and performance incentive mechanisms.
• Oversee data compliance management, including personal information protection, cross-border data transfers, and data collection permissions.
• Drive the transformation of project-specific data deliverables into reusable corporate data assets.

Requirements

• Bachelor's degree or above, with at least 8 years of experience in data operations, data products, or AI data production, including at least 3 years of experience managing teams of 15 or more people.
• Extensive operational experience in at least two of the following areas: autonomous driving, embodied robotics, AIGC/foundation models, mapping, or speech data. Experience with POV/UMI data projects is preferred.
• Comprehensive expertise across the data collection, annotation, processing, and quality inspection lifecycle, with proven experience building data operations systems or large-scale data production facilities from the ground up.
• Strong capabilities in designing data production workflows, standardizing SOPs, and establishing quality management systems.
• Proven experience in vendor management, capacity scheduling, cost control, and quality evaluation, with the ability to establish standardized outsourced operations systems.
• Strong product-oriented mindset, with experience leading the development and implementation of data operations platforms or tools from requirements definition through deployment. Experience designing mobile applications or mini-programs is preferred.
• Strong analytical thinking, data-driven decision-making, and execution skills, with the ability to coordinate multiple projects and communicate effectively across departments. Detail-oriented, highly responsible, and able to perform well under pressure.
• Previous experience managing data teams at leading autonomous driving, embodied AI, or foundation model companies is preferred. Experience managing overseas data operations facilities or international vendors, as well as implementing synthetic data generation and automated annotation solutions, is a plus.

Standards EngineerDevelopmentBeijing

Responsibilities

Standards Management and Development

• Establish and maintain a comprehensive standardization management system covering the entire product lifecycle, including Chinese national standards (GB), industry standards, association standards, and international standards (ISO, IEC, ITU, UL, etc.).
• Ensure the completeness, relevance, and continuous updates of the company's standards framework.
• Lead the development and revision of national (GB) and industry standards on behalf of the company, leveraging expertise in robotics, artificial intelligence, and embodied AI to promote the adoption of the company's core technologies into industry standards.

R&D Integration and Compliance

• Provide standardization support and compliance reviews throughout the product development lifecycle, including project initiation, solution design, prototype development, testing, and validation.
• Identify gaps or conflicts in applicable standards and mitigate potential compliance risks during later stages of product development.

Industry Standards Research and Strategic Planning

• Monitor developments in industry standards and competitors' standardization activities.
• Propose forward-looking standardization strategies and compliance improvements aligned with the company's product roadmap and emerging trends in embodied AI.

Requirements

• Master's degree or above in Standardization Engineering, Mechanical Engineering, Automation, Electrical and Electronic Engineering, Computer Science, or a related field.
• At least 5 years of experience in standardization or regulatory compliance. Experience in robotics, intelligent equipment, or the automotive industry is preferred, particularly in humanoid or quadruped robotics.
• Strong expertise in the development and revision procedures for Chinese national standards (GB), including drafting requirements under GB/T 1.1.
• Familiarity with robotics safety standards, including ISO 10218, ISO 13482, IEC 61508, and ISO 13849, as well as electrical safety and electromagnetic compatibility (EMC) standards.
• Proven ability to independently manage the entire process of standards drafting, compliance reviews, and risk assessments, with the ability to identify compliance risks during product development and propose corrective actions.
• Excellent technical writing skills, with the ability to translate complex technical concepts into clear, precise standards provisions and compliance reports.
• Strong cross-functional communication and coordination skills, with the ability to collaborate effectively with R&D, testing, production teams, and external standards committees.

Preferred Qualifications

• Experience as a named contributor or drafter of standards developed through technical committees such as SAC/TC 591 or SAC/TC 28.
• Proven experience successfully leading international certification projects, such as CE or UL certification.
• Understanding of embodied AI and the application of foundation models in robotics.
• Strong English reading and writing skills, with the ability to read and interpret English-language standards and technical documentation.

Dexterous Hand Mechanical EngineerDevelopmentDexterous Hand R&DShenzhen

Responsibilities

• Own the mechanical architecture, transmission scheme and detailed part design of the dexterous hand, and iterate on it for dexterity, reliability, precision and payload.
• Select and match the actuation modules (e.g. micro motors) and design or select the precision transmission (linkages, gears, worm gears, tendon drive).
• Own or contribute to hardware stack-up, integration design and performance testing of tactile and other sensors.
• Run static, dynamic and kinematic simulation on critical parts with ANSYS / ADAMS / Abaqus and optimise from the results.
• Define test plans, design the fixtures, follow trial production through and solve the manufacturing issues; deliver the complete document set (drawings, BOM).
• Work with the algorithm and software teams so the mechanics, motion control and grasping algorithms fit together.
• Track the state of the art in dexterous hands and explore new materials and processes for the design.

Requirements

• Bachelor's degree or above in mechanical engineering, mechatronics, robotics or automation; master's / PhD preferred.
• 2+ years designing dexterous hands or comparable high-DOF end effectors. A full product cycle under your belt is a plus, as is tendon-drive experience.
• Solid grounding in mechanism and transmission design, able to design and optimise complex assemblies independently. Fluent in at least one mainstream CAD tool (SolidWorks, Creo, AutoCAD) for 3D modelling and engineering drawings.
• Able to do basic mechanical analysis and run FEA for strength and stiffness.
• Familiar with common engineering materials, manufacturing processes (machining, injection moulding, carbon fibre, die casting) and heat treatment; thinks in terms of what can actually be built.
• Strong communication and teamwork across disciplines.

Mechanical Design EngineerDevelopmentHardware R&DShenzhen

Responsibilities

• Own the mechanical scheme and structural design of robot modules: arms, UMI data-collection devices, grippers and full robots.
• Select and land joints and transmission parts; solve the thermal, cabling and assembly problems that come with them.
• Run static simulation on critical parts to head off stiffness, strength and precision risks.
• Produce 3D / 2D drawings and BOMs, and keep the drawing archive in order.
• Take part in prototype assembly, debugging and failure analysis; find the structural root cause and push the next iteration.
• Run DFM / DFA reviews with NPI and supply chain, follow tooling and process, and support trial and small-batch production.

Requirements

• Bachelor's degree in mechanical design, mechatronics or a related mechanical field.
• 3-5 years in structural design; robots, arms, end-effector grippers or automation equipment preferred.
• Comfortable with transmission design and able to select and match motors, reducers and sensors on your own.
• Have owned 1-2 electromechanical hardware modules end to end and solved real engineering problems.
• Familiar with machining, sheet metal and injection moulding; fluent in SolidWorks / Creo, with basic ANSYS simulation.
• Hands-on, easy to work with, and genuinely interested in robotics.

App Engineer (UMI Data Collection Device)DevelopmentSoftware R&DShenzhen

Responsibilities

• Build and iterate the companion app for the UMI data collection device: device pairing, task configuration, start/stop control, recording, local cache and upload — the field workflow has to stay reliable.
• Integrate the app with the collection hardware, handle multi-source sensor streams, keep timestamps aligned, and handle disconnection and data loss.
• Debug across software and hardware with the hardware, algorithm and backend teams; chase down production issues and tune memory and power for large-scale collection.
• Join requirement reviews, iterate on the collection workflow, write the development docs and own the design of key modules.

Requirements

• Bachelor's degree or above with 3-5 years of mobile app development; fluent in the platform language and comfortable with Bluetooth, networking and local storage.
• Experience building apps that pair with hardware is preferred, including device communication and high-volume read/write.
• Strong at debugging and performance tuning, writes clean code, can own a design, and works well across teams.

Embodied AI Algorithm Intern (Dexterous Hand)DevelopmentAI ResearchShenzhen

Responsibilities

• Model the kinematics and dynamics of a multi-finger dexterous hand and develop the core algorithms — fingertip planning, compliant joint control, grasp pose planning. Close the loop with tactile, force and encoder feedback to make fine manipulation and deformable-object grasping stable and robust.
• Build and validate the hand in simulation: train grasping policies, do collision checking, joint-limit constraints and behaviour tuning. Research adaptive grasping, learning in the loop and compliant human-robot interaction with deep and reinforcement learning.
• Work with the mechanical, embedded and actuation teams to port, debug and tune the algorithms on the real hand.
• Write design documents, test reports, patents and papers.

Requirements

• Undergraduate or above in automation, robotics, mechatronics or computer science, graduating in 2027 / 2028, with research or project experience in robot control or grasping. Solid grounding in robot kinematics, dynamics, Jacobians and impedance / hybrid force-position control.
• Fluent in C++ or Python, familiar with ROS / ROS2, and experienced with robot simulation (MuJoCo, Gazebo, Isaac Sim).
• Understand the basics of multi-finger hands, servo drives, encoders and tactile sensors; real-robot debugging experience preferred.
• Projects or publications in grasp planning, RL-based grasping, compliant control or multi-finger coordination are a plus.
• Rigorous, analytical, and easy to work with.

Test Development Engineer (Host Software)DevelopmentSoftware R&DShenzhen

Responsibilities

• Test the functionality, performance and stability of our software and hardware, and write the test code and scripts behind it.
• Develop the host-side software and keep multi-module operation reliable.
• Build automation tooling, put automated testing into practice, and drive the issues you find to a fix.
• Grow the test standards and case library and keep improving the process.
• Work with the R&D team on requirement reviews and design discussions, flag test risk and give actionable recommendations.

Requirements

• Bachelor's degree or above in a science or engineering field; test development experience preferred.
• Fluent in Python / C++ and able to build test scripts and tools on your own.
• Host software development experience, comfortable on Linux with ROS / ROS2.
• Clear thinking, ownership, and strong debugging, communication and execution.
• Test development experience with smart hardware or robots is a plus.

Junior Hardware EngineerDevelopmentHardware R&DShenzhen

Responsibilities

• Work under a senior hardware engineer on schematics and PCB design, BOM management and component selection, owning basic modules such as power and interfaces.
• Do the soldering, cable harnesses and bring-up; test with oscilloscopes and multimeters and write up the results.
• Read datasheets, find alternative parts, write the hardware documentation, support system-level integration with software, and track down basic hardware faults.

Requirements

• Bachelor's degree in electronics, automation or a related field, 0-2 years of hardware experience; strong new graduates welcome.
• Fluent in at least one EDA tool and able to draw schematics and lay out a PCB on your own.
• Solid analog and digital fundamentals, familiar with common power circuits and I2C / SPI / UART / CAN, and comfortable with basic test instruments.
• Can read a chip datasheet; careful, rigorous, and keeps good documentation.
• A plus: attention to detail, and real hardware projects from competitions, a thesis or personal builds.

Content Marketing InternSales & MarketingMarketingShenzhen

Responsibilities

• Distil the product story and plan the content: get deep on our maker-focused robot arms — features, technical edge, use cases and audience (makers, students, hobbyists, small R&D teams) — sharpen the selling points and build the messaging system. Join topic brainstorms and turn industry moments and user needs into content plans.
• Create marketing content across formats for both domestic and overseas audiences: Chinese and English copy, explainers, reviews, tutorials, short-video scripts, press releases and poster copy, each tuned to the platform it runs on.
• Distribute and amplify: Bilibili, Xiaohongshu, Zhihu, WeChat and Douyin at home; YouTube, Instagram, TikTok, Facebook, overseas tech media and forums abroad. Keep the publishing rhythm and grow reach.

Requirements

• Currently studying for a bachelor's degree or above; marketing, journalism, Chinese, new media, English, international communication or an engineering major preferred; graduating 2025 / 2026 preferred.
• Strong copywriting in both Chinese and English, clear thinking, and a knack for turning hard technical advantages into content people actually read.
• Know how the major domestic and overseas social platforms work; internship or hands-on experience in new media, content marketing or overseas communication preferred. Hardware, maker, gadget or smart device content is a plus.
• Comfortable with office software; basic video editing and layout tools (CapCut, Canva) a plus. Fluent written English, able to produce English content independently, is preferred.
• Genuinely interested in smart hardware, maker culture and robot arms. Fast learner, self-starting, careful, creative, and able to get things shipped.

E-commerce Operations SpecialistSales & MarketingMarketingShenzhen

Responsibilities

• Build the SEO and SEM strategy, tune keywords, and grow both organic and paid traffic.
• Set up the store metrics and analyse sales trends, user behaviour and the problems underneath them.
• Run the day-to-day of our direct-to-consumer site: listings, page building, promotions.
• Keep orders moving — process and update them promptly, push fulfilment through, and keep customers happy.
• Optimise on-site assets and copy for user experience, organic traffic and conversion.

Requirements

• 2-3 years running an overseas direct-to-consumer site, fluent in the Shopify admin and its operating logic, and have owned a brand store yourself — ideally for high-ticket products such as 3D printers, drones or robots.
• Hands-on with DTC SEO, and have run Google / Facebook campaigns with a monthly budget above RMB 100,000.
• Working English — enough to handle written communication with overseas customers on your own.

Marketing Campaign ManagerSales & MarketingMarketingShenzhen

Responsibilities

• Own the planning and production of outbound marketing and product material for the business unit: product collateral, case stories, technical material, website copy.
• Build and run the unit's channels: owned media, vertical communities and forums, trade media and industry influencers.
• Drive integrated launch planning for new products — the message, the material, the channel mix and the timing across the whole launch cycle.
• Set up the metrics, measure which content and which channels actually work, and keep tightening the programme.

Requirements

• Deep involvement in the launch of 1-2 electronic products; high-ticket products preferred.
• Prior work in robotics or automation equipment is a plus.
• Strong English copywriting — able to plan and write long-form pieces such as industry white papers and case studies on your own.
• Some engineering background, or a real interest in AI and embodied intelligence.