Định hướng chiến lược, kiến trúc và dẫn dắt phát triển hệ thống tự hành cho robot hình người.
Yêu cầu
Bằng Thạc sĩ hoặc Tiến sĩ ngành CNTT, Robotics, Điện tử, Cơ khí hoặc liên quan
Từ 5 năm kinh nghiệm phát triển phần mềm robotics, chuyên sâu về hệ thống tự hành
Kinh nghiệm làm chủ hoặc dẫn dắt các hệ thống phần mềm robotics phức tạp
Thành thạo C++ và Python; kinh nghiệm thực chiến với ROS/ROS2, Linux, CI/CD
Vững về cảm biến (LiDAR, camera, IMU), SLAM, định vị và lập kế hoạch di chuyển
Trách nhiệm
Định nghĩa chiến lược, kiến trúc và lộ trình autonomy cho robot hình người
Thiết kế và tối ưu module hành vi tích hợp perception, planning, control, safety
Thiết lập quy trình kiểm chứng qua mô phỏng (Gazebo, Isaac Sim) và thử nghiệm thực tế
Xây dựng, dẫn dắt và phát triển đội ngũ kỹ sư autonomy
Có thì tốt
Kinh nghiệm với Behavior Trees, TAMP và hệ thống ra quyết định tự hành
Quen thuộc với môi trường mô phỏng (Gazebo, Isaac Sim) và hệ thống real-time
Từng triển khai nghiên cứu vào robot thực tế hoặc đóng góp dự án mã nguồn mở
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
Location: Hanoi, Vietnam Department: Robotics / Autonomy Reports to: CTO / Head of AI & Data
Role Overview
As Head of Autonomy at VinDynamics, you will own the end-to-end autonomy stack for humanoid robots, from high-level decision-making to real-world execution. You will define the technical vision, architecture, and roadmap for autonomous behaviors, leading the development and deployment of robust, safe, and scalable autonomy systems operating in dynamic human environments.
This role sits at the intersection of research and production, translating cutting-edge autonomy concepts into reliable, deployable robotic systems and directly shaping the long-term technology direction of VinDynamics’ humanoid platforms.
Key Responsibilities
Autonomy Strategy & Technical Leadership
Define and own the autonomy strategy, architecture, and technical roadmap for humanoid robots.
Lead the design and evolution of behavior and decision-making frameworks enabling navigation, manipulation, and complex task execution.
Set technical standards and best practices for autonomy software across the organization.
Autonomy & Behavior Development
Design, implement, and optimize autonomous behavior modules integrating perception, planning, control, and safety logic.
Drive the use of behavior trees, task planners, state machines, or hybrid approaches for scalable autonomy.
Ensure robustness under real-world uncertainty, sensor noise, and imperfect state estimation.
System Integration & Architecture
Collaborate closely with perception, state estimation (SLAM), controls, and hardware teams to integrate autonomy software with robot platforms.
Own autonomy-related system architecture with a focus on modularity, scalability, and maintainability.
Oversee interfaces between autonomy, middleware, and low-level control systems.
Simulation & Real-World Validation
Establish simulation-first development workflows and validation pipelines using tools such as Gazebo or Isaac Sim.
Define performance metrics, safety checks, and test scenarios to validate autonomy behavior before and after deployment.
Lead real-world testing and iteration on humanoid robot platforms.
Team Leadership & Cross-Functional Collaboration
Build, mentor, and lead a high-performing autonomy engineering team.
Work cross-functionally with hardware, perception, controls, system integration, and product teams to deliver production-ready autonomy.
Participate in technical planning, architecture reviews, and code reviews to ensure engineering excellence.
Minimum Qualifications
Master's or PhD in computer science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
5+ years of professional experience in robotics software development, with strong focus on autonomy systems.
Proven experience leading or owning complex robotics software systems.
Strong proficiency in C++ and Python.
Hands-on experience with ROS / ROS2, Linux, and modern software development workflows (Git, CI/CD).
Solid understanding of perception and sensor fusion (LiDAR, cameras, IMU), localization, and state estimation.
Strong knowledge of autonomous navigation, motion planning, and behavior design paradigms.
Preferred Qualifications
Experience with behavior trees, task and motion planning (TAMP), and autonomous decision-making systems.
Familiarity with simulation environments such as Gazebo or Isaac Sim.
Background in perception or scene understanding (classical or deep learning-based).
Experience with real-time systems, middleware, and performance optimization.
Track record of bringing autonomy research into production-grade robotic systems.
Contributions to open-source robotics projects, academic publications, or robotics competitions.
What You’ll Gain
Opportunity to build cutting-edge autonomy for humanoid robots deployed in real-world environments.
Direct influence on product design and long-term autonomy technology direction.
Collaboration with a world-class, multidisciplinary robotics team.
Competitive compensation and benefits aligned with VinGroup standards.
