Robotics Engineer

  • $85,000.00 - $150,000.00/year
  • This job will entail the development and deployment of real robotic systems using the state-of-the-art in perception and control. You will have the chance to develop and integrate many novel subsystems into a real mobile robot. You will be responsible for the development, implementation and evaluation of algorithms and hardware.

    Duties and Responsibilities:

    • Develop the sensing, actuation, localization, and mapping capabilities of a mobile robot system
    • Taking ownership of major system components from prototype to ship, keeping stakeholders regularly informed throughout production
    • Writing performant and maintainable code in C++
    • Creating tools as needed to get the job done efficiently
    • Supporting manufacturing and testing efforts to deliver well-calibrated and reliable systems

    Required:

    • Bachelor’s degree in robotics, computer science, electrical engineering, mechanical engineering, mechatronic engineering, biomedical engineering, control engineering or a related field;
    • Excellent writing and communication skills;
    • English proficiency.
    • Extremely strong C/C++ development, testing, and debugging skills
    • Experience working with physical mobile platforms
    • Strong problem solving and analytical skills

    Preferred:

    • Master’s degree or PhD in a related field;
    • Experience in mechanical design software such as Solid Works;
    • Experience in real-time control systems;
    • Familiarity with ROS;
    • Python development experience;
    • The CMake build system;
    • Experience in robotic projects;
    • Sensor fusion including Cameras, LIDARs, IMUs;
    • Machine learning for object detection, classification, and tracking;
    • Experience with ADAS system or other safety critical applications in Aerospace, Medicine, or Automotive applications.
    • Micro-controller programming including hobby boards like Raspberry Pi and Arduino
    • Sensor calibration and processing
    • Deep learning frameworks include Tensorflow, Caffe, and MX-Net

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