- 工作方式
- 现场办公
- 类型
- 全职
- 发布
- 2026-10-14
- 编号
- R-31108
职责
- 设计、实现和验证用于实时执行、安全监督运动和硬件/软件集成的机器人控制逻辑。
- 开发和实施实时轨迹生成方法，包括样条插值、运动轮廓和关节空间/任务空间规划。
- 设计和调整基于力的指令调制和安全滤波的导纳/阻抗控制策略。
- 利用估计器输出、信号处理和诊断数据来检测不安全、性能下降或不可靠的机器人行为。
- 通过清晰可重用的接口，公开硬件信号、设备状态、传感器状态、通信质量和诊断信息。
- 在仿真、硬件在环测试、台式实验和真实硬件环境中验证机器人功能。
- 清楚地记录假设、接口、安全限度、验证证据和实施行为。
必备要求
- 具有开发机器人、机电一体化、自动化或类似网络物理系统的控制算法的经验。
- 关节空间/任务空间在实时轨迹生成、运动轮廓、规划以及速度/加速度约束方面拥有扎实的背景。
- 对导纳/阻抗控制和基于力的安全监督运动有实际理解。
- 能够处理估计器输出、扰动项、不确定性指标和估计器失效模式。
- 具备时间序列分析、滤波、趋势检测和信号质量评估方面的经验。
- 具备在实时、嵌入式、机器人或工业自动化环境中集成控制或机器人软件的实践经验。
- 具备使用 C++、Python、Linux、ROS、DDS、MATLAB、Simulink 或类似工具进行机器人开发和集成的经验。
- 能够通过仿真、硬件在环测试、台式实验和实际硬件集成来验证机器人行为。
- 机器人学、机械工程、电气工程、计算机科学、控制工程或相关技术领域的硕士学位。
优先条件
- 具有自主机器人、医疗机器人、图像引导治疗系统或其他安全关键型网络物理系统方面的经验。
- 熟悉欠驱动、连续体、导管、导丝或其他柔性机器人系统。
- 具备在真实数据有限的情况下定义保守安全阈值的经验。
- 具备医疗器械开发、受监管产品开发或验证计划方面的经验。
- 机器人学、控制系统、实时系统或机电一体化专业的博士学位。
Responsibilities
- Design, implement, and verify robot control logic for real-time execution, safety-supervised motion, and hardware/software integration.
- Develop and implement real-time trajectory generation methods, including spline interpolation, motion profiles, and joint-space/task-space planning.
- Design and tune admittance/impedance control strategies for force-based command modulation and safety filtering.
- Leverage estimator outputs, signal processing, and diagnostic data to detect unsafe, degraded, or unreliable robot behavior.
- Expose hardware signals, device states, sensor states, communication quality, and diagnostics through clear, reusable interfaces.
- Validate robot functionality in simulation, hardware-in-the-loop testing, benchtop experiments, and on real hardware.
- Clearly document assumptions, interfaces, safety limits, verification evidence, and implemented behavior.
Must Have
- Experience developing control algorithms for robots, mechatronics, automation, or similar cyber-physical systems.
- Strong background in joint-space/task-space real-time trajectory generation, motion profiling, planning, and velocity/acceleration constraints.
- Practical understanding of admittance/impedance control and force-based safety-supervised motion.
- Ability to handle estimator outputs, disturbance terms, uncertainty metrics, and estimator failure modes.
- Experience with time-series analysis, filtering, trend detection, and signal quality assessment.
- Hands-on experience integrating control or robotics software in real-time, embedded, robotics, or industrial automation environments.
- Experience with C++, Python, Linux, ROS, DDS, MATLAB, Simulink, or similar tools for robot development and integration.
- Ability to validate robot behavior through simulation, hardware-in-the-loop testing, benchtop experiments, and real hardware integration.
- Master's degree in robotics, mechanical engineering, electrical engineering, computer science, control engineering, or a related technical field.
Preferred
- Experience with autonomous robots, medical robotics, image-guided therapy systems, or other safety-critical cyber-physical systems.
- Familiarity with underactuated, continuum, catheter, guidewire, or other flexible robotic systems.
- Experience defining conservative safety thresholds with limited real-world data.
- Experience in medical device development, regulated product development, or verification plans.
- PhD in robotics, control systems, real-time systems, or mechatronics.
公司简介
西门子医疗是医疗技术领域的领导者，团队由遍布70多个国家、超过72,000名高度敬业的医疗工作者组成。我们不断突破界限，致力于为患者创造更佳的治疗效果和体验，无论他们身处何地、面临何种健康问题。我们的产品组合对临床决策和治疗方案至关重要。加入西门子医疗，您将成为全球科学家、临床医生、开发人员、研究人员、专业人士和技术专家团队的一员。我们相信每个人都拥有贡献多元化想法的潜力，来自不同背景、文化、宗教、政治和/或性取向的我们携手合作，共同对抗全球最具威胁的疾病，并致力于实现医疗服务的可及性。我们拥有一个共同的目标：引领医疗保健领域的突破性进展。为了每个人，为了世界各地，为了可持续发展。