Mid-Level Robotics Engineer, Autonomous Systems
加入一个专注于自主系统的工程和研发团队，担任机器人工程师。你将从原型构建并集成基于无人机的机器人系统，通过实地验证，支持安全可靠的交付操作。你会做什么？- 设计和集成机器人机制，传感器，动员，控制器和无人机有效载荷系统。- 开发控制，导航，路径规划和避障碍解决方案。- 用 ROS 或 ROS 2和 C++或 Python 编程机器人软件，并验证在模拟中的解决方案。- 构建，解决故障和实地测试原型号，分析飞行日志和传感器数据。- 与机械，电子和软件团队合作开发和部署原型号。我们正在寻找什么 - 至少有2年的机器人，无人驾驶系统或自动系统的实践经验。- 在运动学，动态学，控制理论，PID 和系统集成方面拥有强大的基础。- 熟练学习 C++或 Python,ROS 或 ROS 2,Linux;熟悉 MATLAB. - 使用 PX4或 ArduPilot,MAVLink,电机，ESC,GPS 电池和操纵器的实际经验。- 嵌入式系统，微控制器，拉斯贝瑞皮或杰特森，动机和硬件调试的经验。- 对 CAN,UART,I2C,无人机遥测，模拟，现场测试和飞行日志分析的熟悉性。- 机器人技术，机械学，电气工程，航空航天，计算机科学或相关领域的背景。计算机视觉，机器学习，SLAM,加塞博，Webots,CAD 或 BVLOS 体验是个优点。补偿与福利签证赞助不提供。
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ABOUT THE ROLE
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will build and integrate drone-based robotic systems from prototype through field validation, supporting safe and reliable delivery operations.
WHAT YOU'LL DO
- Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
- Develop control, navigation, path-planning, and obstacle-avoidance solutions.
- Program robotics software with ROS or ROS 2 and C++ or Python, and validate solutions in simulation.
- Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
- Build, troubleshoot, and field-test prototypes, analyzing flight logs and sensor data.
- Collaborate with mechanical, electronics, and software teams on prototype development and deployment.
WHAT WE'RE LOOKING FOR
- At least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems.
- Strong foundations in kinematics, dynamics, control theory, PID, and system integration.
- Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
- Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
- Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.
- Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
- Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.
- Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. Computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS experience is a plus.
COMPENSATION & BENEFITS
Visa sponsorship is not available.