Robotics Engineer

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We are looking for a talented Robotics Engineer to join our team in Shropshire, working on cutting‑edge autonomous and robotic platforms. This role offers an inspiring work environment where your expertise will contribute to groundbreaking advancements in the robotics industry.

Salary: £50,000 – £60,000 per annum (DOE). Hours: 37 per week, Monday to Friday with an early afternoon finish on Friday. Remote work: one day per week every two weeks. Relocation package available for candidates living more than 2 hours away from Shropshire.

PLEASE BE ADVISED THAT SPONSORSHIP IS NOT AVAILABLE.

Full UK driving licence is required.

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• Design and implement perception algorithms for robotics and autonomous systems, focusing on object detection, tracking, and classification.
  
• Develop and optimise sensor fusion techniques, integrating data from cameras, LiDAR, radar, and IMU sensors.
  
• Create machine‑learning/AI models for scene understanding, semantic segmentation, and obstacle detection to enhance robotic decision‑making.
  
• Integrate autonomous navigation solutions using the ROS2 Navigation Stack, enhancing robotic perception, planning, and control.
  
• Develop and implement 3D mapping algorithms to create accurate, real‑time maps of outdoor environments.
  
• Ensure real‑time performance of perception modules on robotic platforms, optimising algorithms for embedded systems.
  
• Collaborate with cross‑functional teams to refine system architecture and conduct thorough testing and validation.
  
• Document designs, workflows, and best practices to ensure seamless knowledge sharing and implementation.
  

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• Minimum of 3 years experience in C++ software development for embedded systems.
  
• Experience with ROS or ROS2.
  
• Strong programming skills in C++ and Python, with familiarity in CUDA for GPU acceleration.
  
• Full UK driving licence.
  
• Holding a Master's degree or PhD in Computer Science, Software, Mechatronics, Robotics Engineering, or a related field.
  

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• Proficiency in perception and computer vision techniques, including OpenCV, image processing, and 3D point‑cloud processing.
  
• Hands‑on expertise with deep learning frameworks like TensorFlow or PyTorch, and knowledge of CNNs, RNNs, and transformer‑based architectures.
  
• Experience in autonomous vehicles, drones, or industrial robotics, along with knowledge of simulation tools such as Gazebo or CARLA.
  

This company is committed to pushing the boundaries of robotics and automation, offering a role that directly contributes to revolutionary advancements in the field. As a Robotics Engineer you will play a pivotal part in developing intelligent systems that redefine how machines interact with their environment, ensuring precision and efficiency across diverse applications.