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Glocomms · Dresden, Saxony, Germany

Robotics Engineer

Hybridseniorfull timePosted 20 days ago
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Stack mentioned

machine-learningcomputer-visiondata-structuresc++pythonmatlabdeep-learningpytorchtensorflow

Location:

Dresden, Saxony, Germany - Hybrid 3 days a week

We are seeking a highly skilled and passionate Robotics Control Engineer to join our team. As a Robotics Engineer, you will play a key role in developing and advancing cutting-edge robotics programming tools and solutions. We are looking for individuals with a strong background in robotics, computer science, mathematics, and machine learning to drive innovation.

Essential functions

- You will work with a global team of researchers and engineers in the field of robotics and computer vision to deliver innovative products and solutions

- Develop software for controlling and operating robotic systems, implementing algorithms for perception, planning, and control

- Contribute to the development of robotics toolpath planning algorithms, their simulation and validation

- Integrate hardware and software components into complete robotic systems, conducting testing and validation to ensure functionality and performance

- Experiment with state-of-the-art methods in object detection, pose estimation, and motion planning

- Participate in design and implementation of robotics programming tools and reusable components

Qualifications

- MS or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field

- 5+ years of experience with commissioning and programming industrial robots, with a focus on developing and deploying manipulation robotic systems (e.g. bin picking, packaging, agriculture picking)

- Proficiency in programming languages such as C++, Python, or MATLAB, and experience with robotics frameworks and libraries

- Familiarity with robotic simulation tools and platforms, such as ROS (Robot Operating System), Gazebo and Isaac Sim/Omniverse

- Experience with robotic perception and manipulation algorithms, such as path planning and motion control

- Strong understanding of robotic hardware components and subsystems, including sensors, actuators, and control systems

- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and computer vision models

- Experience in manufacturing industry and understanding of manufacturing processes such as welding, surface treatment, painting, and polishing is a strong advantage

- Preferably Manipulation roboticists: robotic arms and/or humanoids

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