Robotics Engineer

Glocomms; Dresden; Hybrid; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Glocomms in Dresden, Germany, is seeking a Robotics Control Engineer to join a cutting-edge robotics team. You will develop software to control and operate robotic systems, focusing on perception, planning, and control across industrial applications.

The ideal candidate has a MS/PhD in a related field, 5+ years in manipulation robotics, strong C++/Python/MATLAB, and hands-on ROS/Gazebo/Isaac Sim experience, with hardware integration expertise.

Qualifikationen

• MS or PhD in Robotics, Mechanical Eng., Electrical Eng., CS, or related field
• 5+ years commissioning and programming industrial robots, focusing on manipulation systems (e.g., bin picking)
• Proficiency in C++, Python, or MATLAB; experience with robotics libraries/frameworks
• Familiarity with robotics simulation tools (ROS, Gazebo, Isaac Sim/Omniverse)
• Experience with perception and manipulation algorithms (path planning, motion control)
• Strong understanding of robotic hardware components (sensors, actuators, control systems)
• Experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and CV models
• Advantage: experience in manufacturing processes (welding, painting, polishing)
• Prefer manipulation roboticists: robotic arms and/or humanoids

Aufgaben

• Develop software to control and operate robotic systems with perception, planning, and control
• Collaborate with a global team of researchers and engineers to deliver innovative products
• Contribute to robotics toolpath planning algorithms, simulations, and validation
• Integrate hardware and software components into complete robotic systems and validate performance
• Experiment with state-of-the-art perception and motion planning methods
• Design and implement robotics programming tools and reusable components

Kenntnisse

C++

Python

ROS

Gazebo

Deep learning

Machine learning

Perception

Motion planning

Control systems

Robotics hardware

Ausbildung

MS/PhD in Robotics or related field

Tools

ROS

Gazebo

Isaac Sim/Omniverse

Jobbeschreibung

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