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The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. Responsibilities: • Design and implement novel AI algorithms and foundation models for general-purpose robots and embodied agents. • Develop and optimize training and inference pipelines for large-scale vision-language and multimodal models. • Fine-tune models for robot-specific tasks such as motion planning and manipulation, including reinforcement learning (RL) techniques. • Collaborate with simulation teams to validate models in physical simulators and integrate them into robot planning and control systems. • Build and maintain scalable GPU-based distributed training infrastructure and efficient data pipelines for model development.

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. Responsibilities: • Design and develop modular, extensible, and software-defined architectures for robotic systems across the full stack (from low-level control to high-level behavior). • Define and implement system-level interfaces, communication protocols, and data pipelines between modules such as perception, planning, control, and actuation. • Work closely with AI and robotics team members to embed models into the runtime system architecture with real-time performance requirements. • Manage and evolve the robot middleware stack, including ROS/ROS2-based services, messaging layers, and configuration management. • Support lifecycle management, diagnostics, and introspection tools to monitor system health and behavior during long-term operation. • Ensure systems are built with safety, performance, and scalability in mind to support both single-robot and multi-robot deployments. • Build tools and systems to measure, monitor, and improve data and model quality, across both live and offline environments. • Support full-stack development across robot-side software, cloud services, and internal user interfaces as needed.

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. Responsibilities: • Design and develop robotic hardware systems, including mechanical structures, actuator modules, and sensor layouts tailored for mobile platforms or manipulators. • Lead or support system-level integration efforts, combining hardware, embedded systems, AI modules, and control software into fully functional robot prototypes. • Develop experimental platforms for testing manipulation, mobility, and physical interaction in simulated and physical environments. • Collaborate closely with teams working on AI perception, motion planning, and learning-based control to ensure end-to-end functionality and safety. • Conduct iterative hardware/software co-design to enable agile adaptation and modular upgrades based on research or deployment needs. • Identify opportunities for performance improvement and reliability enhancements through design iteration and real-world feedback. • Stay informed on the latest robotics mechanisms, actuation technologies, compliant design, and modular system trends.

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. Responsibilities: • Design and implement robot simulation environments for locomotion, manipulation, and autonomous navigation using platforms such as Isaac Sim, Gazebo, or Unity. • Develop digital twins of physical robot platforms and environments to support virtual testing, monitoring, and predictive modeling. • Build scalable sim-to-real pipelines to accelerate model training, testing, and validation in virtual environments. • Create APIs or interfaces to integrate simulation environments with AI models, control systems, and robot operating stacks (e.g., ROS 2.0). • Collaborate with robotics hardware teams to ensure accurate modeling of kinematics, dynamics, sensors (LiDAR, depth, force-torque), and actuators. • Contribute to scenario creation, automated test suites, and metric-based evaluation pipelines for development and benchmarking. • Support research and engineering teams in data generation for perception and learning models. • Stay up-to-date with the latest tools and methodologies in simulation fidelity, domain randomization, and digital twin technologies.

Mô tả công việc About PT Lab: PT Lab is an innovation lab pushing the boundaries of robotics, embodied AI, and hardware solutions to create value for Vietnam and the world. We’re building a brilliant, agile team to develop cutting-edge projects—from smart physiotherapy devices to high-fidelity teleoperation systems and next-gen delivery drones. Our work is hands-on, fast-paced, and driven by a mission to turn bold ideas into reality. If you thrive in an environment where creativity, ownership, and technical excellence are paramount, PT Lab is the place for you. The Role: Software Engineer (Robotics) A Software Engineer at PT Lab will develop the brains behind our robots. You’ll write the algorithms, control systems, and embedded software that power our drones, teleoperation devices, and physiotherapy hardware. This role is for engineers who love to see their code interact with the physical world—whether it’s enabling a drone to navigate autonomously or giving a teleoperation device the precision of human touch. You Will: Develop and optimize robotics software, including control algorithms, state machines, and real-time systems.Work with ROS2 (Robot Operating System), SLAM, and computer vision to enable autonomous behavior.Write embedded software for microcontrollers and single-board computers, ensuring seamless integration with hardware.Design and implement machine learning models fora Edge AI applications, enabling smart, adaptive behavior in our devices.Collaborate closely with mechanical and electronics engineers to ensure software and hardware work in harmony.Test, debug, and iterate—you’ll be hands-on with robots, sensors, and custom hardware, refining performance in real-world conditions.Take ownership of software architecture, from high-level planning to low-level implementation and optimization.Innovate with cutting-edge technologies, including AI, sensor fusion, and real-time control systems.

【你的任務：決戰 1ms 的控制週期】 你將負責打造機器人的即時運算平台與通訊架構。 你的敵人是「延遲 (Latency)」。你需要確保上層的運動演算法 (MPC/WBC) 能在 1kHz (1000Hz) 的頻率下穩定運行，並將指令精準地透過 EtherCAT 傳送到全身的關節模組。 【工作內容 (Responsibilities)】 即時系統開發 (Real-time System Optimization)：在嵌入式平台 (x86/Jetson) 上建置與優化 Real-time Linux (PREEMPT_RT) 或 Xenomai 核心。進行系統效能調校，消除 Context Switch 與 ISR 造成的 Jitter，確保控制迴路的「硬即時 (Hard Real-time)」性能。機器人軟體架構設計 (Software Architecture)：基於 ROS 2 (Robot Operating System) 設計高效率的節點通訊架構。調校 DDS (Data Distribution Service) 參數（如 FastDDS / CycloneDDS），優化進程間通訊 (IPC) 的頻寬與延遲。硬體抽象層開發 (HAL Driver)：開發與整合 EtherCAT Master (如 SOEM / EtherLab)，負責與底層伺服驅動器、IMU 感測器進行高速通訊。設計硬體抽象層 (HAL)，讓上層演算法與底層硬體解耦，提升系統的可移植性。DevOps 與系統整合：導入 Docker / Container 技術進行環境控管。建立 CI/CD 流程，確保程式碼品質與版本部署的穩定性。

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. Responsibilities: • Collaborate with model development and robotics teams to deploy AI models on real-world robots. • Design and optimize sim-to-real transfer pipelines to bridge the gap between simulation and physical deployment. • Integrate reinforcement learning and fine-tuned models into the robot control stack for real-time execution. • Validate and refine model performance on physical robots, ensuring robustness and safety in real-world environments. • Development and deployment of AI models for perception, motion planning, and manipulation tasks on robot hardware.

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development. Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialized robotics-based solutions. Responsibilities: • Build and manage a global robotics trend radar by collecting and synthesizing information from academic research, industrial consortia, startup ecosystems, and technology expos. • Identify, evaluate, and establish collaborations with research institutions, startups, and alliance partners. Serve as a liaison to facilitate co-development, joint research, and innovation initiatives. • Lead or support multi-stakeholder initiatives involving internal technical teams, strategy departments, and external partners. Manage project planning, milestone tracking, and outcome reporting. • Represent Delta in international robotics communities (e.g., IEEE RAS, ROS-Industrial) and contribute to shared innovation topics, events, and roadmap discussions.

泰科動力是成立於2021年的『成長公司』，我們的團隊成員來自德國KUKＡ機器人核心研發團隊，團隊平均有10年以上『自動化設備』與『自主移動機器人』開發經驗。團隊在機器人產品設計經驗豐富且成果豐碩。我們的核心價值為團隊（Team）、人工智能 (AI)、互聯 (connection)、秉持著員工是公司最重要資產，我們重視每一位員工，除了有良好工作環境、也提供學習及成長的空間，主動積極的栽培優秀人才，現在就差最優秀的您加入，一同創造嶄新的未來。【What Will You Do】1.負責 AMR 上位系統 (FMS、WCS 等) 的架構設計與開發，確保系統高效、穩定且具擴充性。2.使用 C# / .NET Core / Blazor 建立即時監控與操作介面，將機器人運行狀態、任務流程與報表可視化。3.建立與維護 微服務架構，設計跨服務溝通介面 (gRPC、REST API、SignalR 等)，支援分散式運算。4.開發 非同步事件驅動系統，處理高併發資料流 (Task-based、Channel、Message Queue、Pub/Sub)。5.整合資料快取與訊息中介工具 (Redis、Kafka、RabbitMQ 等)，優化效能與系統反應速度。6.串接機器人底層控制系統與感測資料，實現從上位調度系統到 AMR 的即時控制與監測。7.與跨部門團隊 (控制、韌體、機電、測試) 協作，共同完成系統需求分析、技術整合與驗證流程。8.撰寫架構設計文件、API 文件、測試規範，確保系統具備長期維護性與開發一致性。【需要具備的職能】1.精通 C# / .NET Core 開發，具備良好物件導向概念與 SOLID 設計原則。2.熟悉 Blazor Server / Blazor WebAssembly 應用開發，能設計資料即時互動與使用者操作介面。3.具備 微服務架構 實作經驗，熟悉服務間通訊 (gRPC、RESTful API)。4.熟悉 非同步程式設計 (async/await、Task、Channel、Message Queue)。5.具備 Redis 或其他快取系統經驗，了解分散式快取與資料一致性設計。6.熟悉 SQL / NoSQL 資料庫與 ORM 框架 (Entity Framework、Dapper)。7.熟悉 Git、CI/CD、自動化部署與版本管理流程。8.能使用 Scrum 或 Kanban 進行團隊敏捷開發。【加分條件】1.有 FMS、WCS、AGV、AMR 或工業自動化系統開發經驗。2.具備 前端技術 (React、TypeScript、TailwindCSS) 基礎或 Blazor 前端效能優化經驗。3.熟悉 Docker / Kubernetes 容器化與微服務部署。4.了解系統監控與資料可視化工具 (Grafana、Prometheus、Seq、Elastic Stack)。5.有 DevOps、分散式追蹤、或系統診斷經驗。【我們期待的夥伴】1.對 AMR / 智慧物流系統 與大型分散式軟體架構開發充滿熱情。2.具備從架構到程式層面皆能掌握的全局視野。3.喜歡挑戰高併發、高可靠性系統的開發與優化。4.擁有開放的學習心態與團隊合作精神，能主動解決問題並分享知識。

【關於我們：賦予鋼鐵智慧的靈魂】 我們是位於台中大里的前瞻技術新創團隊，背後擁有三鋒機器集團的強力資源挹注。 不同於傳統自動化設備，我們專注於開發**「具備動態平衡與自主移動能力」**的次世代機器人。我們的目標不是打造軀殼，而是開發最強大的「小腦」——讓機器人能像生物一樣靈活運作，適應真實世界的複雜物理環境。 【你的任務：打造機器人的小腦】 你將是賦予機器人「運動能力」的關鍵人物。我們已經準備好高性能的硬體載具，你需要透過數學與程式碼，解決多軸協調與動態平衡的難題： 核心運動控制開發：設計並實作全身運動控制 (Whole-Body Control, WBC) 演算法，協調多個關節的力矩輸出，確保機器人在動態環境下的穩定性。開發模型預測控制 (Model Predictive Control, MPC)，進行即時軌跡優化，解決非線性系統的控制問題。狀態估測與感測器融合 (State Estimation)：利用卡爾曼濾波 (Kalman Filter) 融合 IMU、編碼器 (Encoder) 與力感測器數據，精準估算機器人的姿態、速度與接觸狀態。物理模擬與驗證：在物理引擎 (如 MuJoCo, Gazebo, Isaac Gym) 中建立機器人動力學模型 (URDF/MJCF)，進行演算法驗證與參數調校 (Sim-to-Real)。系統整合與效能優化：將演算法部署至嵌入式電腦 (如 Jetson/x86)，優化 C++ 程式碼以滿足 1kHz (1ms) 的即時控制迴路需求。