Application Engineer - Robotics and Autonomous Systems


Offered by:

Speedgoat GmbH


Organization You are a member of the “Application Engineering”, part of the Customers department, and also closely collaborate with our Technologies and Marketing departments, with customers, and with partner companies. Key Tasks and Responsibilities

  • Creation of MATLAB® & Simulink® -based reference examples and video content outlining how Speedgoat solutions can be adopted to advance robotics and autonomous systems. Topics include:
    • Building HIL-ready models of robotic and mechatronic systemswith accurate kinematics, dynamics, and suitable I/O connectivity
    • Designing digital control systems including supervisory logic, motion control and planning, as well low-level controls for motor drives and energy management systems
    • Emulation and deployment of camera-, radar- and lidar-based perception systems using Speedgoat SoC and FPGA low-latency platforms.
    • Log and replay sensor data with tight control over timing and synchronization.
  • Assist in pre-sales activities by creatingproof of concepts, running solution demonstrations, as well helping potential customers understand their real-time testing requirements.
  • Improve integration of Speedgoat solutions with key third-party software commonly used in robotics and autonomous applications. This includes middleware such as DDS, ROS/ROS2, and Adaptive AUTOSAR, computer vision libraries like OpenCV, and simulation and visualization such as Gazebo or Unreal Engine.
  • Work closely with MathWorks development teams to improve combined capabilities and workflows with Simulink Real-Time™, Robotics System Toolbox™, Simscape Multibody™, UAV Toolbox, Navigation Toolbox™, among others.

 Qualification Requirements

  • Bachelor's degree in Robotics, Electrical Engineering, Computer Science, or a related field. Master's degree is a plus.
  • Demonstrated proficiency in MATLAB and Simulink.
  • In-depth kledge of robotics and autonomous systems, including control systems, kinematics, dynamics, and sensor integration.
  • Familiarity with real-time testing hardware and equipment is highly desirable.
  • Proficiency in programming languages such as C/C++ and Python is a valuable addition.
  • Familiarity with ROS/ROS2, Linux-based systems, and other robotics-related middleware platforms.
  • Willingness to learn and adapt to new technologies and industry trends.

  !This is your chance to contribute to complex engineering solutions in electrification, autonomous technologies, and automation.