Robotics Software Engineer

Employment Type: Full-time You will contribute to the software architecture and algorithm development for the robotic Beam Loss Monitor (BLM) calibration mission. You will oversee the integration, testing, and commissioning of software modules, including communication with hardware actuators and sensors, first in simulation and later on the Train Inspection Monorail robot using the CERN Robotic Framework. You will also support intervention procedures, including risk analysis and recovery steps, and produce and maintain technical documentation, test plans, and reports. Your responsibilities Contribute to the development of the robotic mission control algorithms for sensor validation; Contribute to data flow definitions and communication between different databases and software interfaces; Develop C++ algorithms for robot base and robotic arms movements, and contribute for algorithms for vision and environment understanding; Test connections to hardware modules such as cameras, motors, encoders, routers, computers and other sensors; Contribute to procedures, documentation and create test plans for the missions; Communicate regularly with end-users; Collaborate with a team of skilled robotics engineers and perform tasks such as merge request reviews; Supervise student projects in the above area; This role includes team supervision responsibilities. Your profile Experience: Proficiency in C++ Programming; Proficiency in GitLab or other collaborative tools; Understanding of CI/CD pipelines; Understanding of SQL databases; Knowledge of motion control algorithms and libraries; Experience with industry communication protocols such as EtherCAT and CANopen. Skills: C++ ; Python; Quality code assurance; Spoken and written English, with a commitment to learn French. Eligibility criteria You are a national of a CERN Member or Associate Member State. You have a professional background in robotics, controls, electronics (or a related field) and have either: a Master's degree with 2 to 6 of post‑graduation professional experience; or a PhD with no more than 3 of post‑graduation professional experience. You have never had a CERN fellow or graduate contract before. Additional Information Job closing date: 20.01.2026 at 23:59 CET. Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Fully Onsite Target start date: 01-June-2026 Job reference: BE-CEM-MRO-2025-209-GRAP Field of work: Electrical or Electronics Engineering Benchmark job: 200020 - Computing Engineer What we offer A monthly stipend ranging between 6287 and 6911 Swiss Francs per month (net of tax). Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract. 30 days of paid leave per year. On‑the‑job and formal training at CERN as well as in‑house language courses for English and/or French. About us At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern. We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world‑class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding. Begin your CERN Quest. Take Part Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. #J-18808-Ljbffr