Robotics Engineer

Job Posting Organization:
CERN, the European Organization for Nuclear Research, is a leading scientific research institution established in 195

• It is known for its groundbreaking work in particle physics and technology, employing over 2,500 staff members and hosting thousands of scientists from around the world. CERN operates in multiple countries, primarily in Europe, and is dedicated to pushing the frontiers of science and technology through innovative research and collaboration.

Job Overview:
The Robotics Engineer position at CERN is a hands-on role focused on supporting the robotic maintenance and inspection of experimental facilities. The successful candidate will be involved in developing and optimizing perception systems that integrate various sensors and process sensory data to provide actionable insights for operators or autonomous control. The role emphasizes camera-based sensing, computer vision, and machine learning to enhance the awareness and autonomy of CERN's robotic platforms. The engineer will work closely with multidisciplinary teams to ensure the effective integration of perception systems into existing robotic platforms, contributing to the safety and efficiency of maintenance operations in challenging environments.

Duties and Responsibilities:
The Robotics Engineer will be responsible for integrating and configuring sensor systems, including RGB, RGB-D, endoscopic, and thermal cameras, on robotic platforms used for maintenance and inspection missions. They will develop and implement computer vision algorithms for tasks such as object detection, image segmentation, pose estimation, and 3D perception. Additionally, the engineer will create and optimize C++ software frameworks for data acquisition, image processing, and sensor fusion. They will apply machine learning techniques to perception tasks, deploying models using pipelines like the Nvidia Triton Inference Server. Debugging and optimizing camera drivers and network parameters to ensure reliable, low-latency data transfer for real-time operations will also be part of their responsibilities. Collaboration with robotics, controls, and operations teams is essential to integrate perception systems into existing workflows effectively.

Required Qualifications:
Candidates must demonstrate hands-on experience with camera and sensor systems, including hardware integration, calibration, and debugging. A solid understanding of computer vision and machine learning techniques for robotic perception and environment understanding is required. Experience in software development using C++ frameworks and familiarity with machine learning libraries such as TensorFlow or PyTorch is essential. The candidate should be interested in applying robotics technologies to real-world maintenance and inspection applications in complex experimental environments. Strong analytical and problem-solving skills are necessary, along with the ability to work independently and collaboratively in multidisciplinary teams.

Educational Background:
The position requires a professional background in Robotics Engineering or a related field. Candidates should possess either a Master's degree with 2 to 6 years of post-graduation professional experience or a PhD with no more than 3 years of post-graduation professional experience. It is important that applicants have not previously held a CERN fellow or graduate contract.

Experience:
The ideal candidate should have a minimum of 2 years of relevant experience in robotics engineering or a related field, with a maximum of 6 years for those holding a Master's degree. For PhD holders, up to 3 years of experience is acceptable. This experience should include practical work with camera and sensor systems, software development in C++, and application of machine learning techniques in robotics.

Languages:
Proficiency in spoken and written English is mandatory, as it is the primary language of communication at CERN. Candidates are also expected to have a commitment to learn French, which is beneficial for integration into the local community and workplace.

Additional Notes:
This position is fully onsite with a contract duration of 24 months, with the possibility of extension up to a maximum of 36 months. The working hours are set at 40 hours per week. The target start date for this role is April 1, 202

• The job reference is BE-CEM-MRO-2025-199-GRAP. The compensation includes a monthly stipend ranging from 6287 to 6911 Swiss Francs, which is tax-free, along with 30 days of paid leave per year, comprehensive health insurance coverage, and various allowances depending on individual circumstances. A relocation package is also available, and on-the-job training, including language classes, will be provided.