CERN SW/FW Developer Physicist

Job Posting Organization:
CERN, the European Organization for Nuclear Research, was established in 1954 and is one of the world's largest and most respected centers for scientific research. With over 2,500 employees and thousands of scientists from around the globe, CERN operates in multiple countries and is dedicated to pushing the frontiers of science and technology. The organization is known for its groundbreaking work in particle physics, and it fosters an environment of innovation and collaboration, where diverse professionals from various fields come together to tackle complex scientific challenges. Diversity is a core value at CERN, and it remains central to its mission and continued success.

Job Overview:
The position of CERN SW/FW Developer Physicist is integral to the Global Hardware Trigger project, which is part of the upgrade to the Trigger and Data Acquisition system for the High-Luminosity LHC programme (HL-LHC). This role involves developing and maintaining pipelines that facilitate the end-to-end process of optimizing and implementing machine learning (ML) algorithms within the Global firmware framework. The successful candidate will support the ATLAS Global community in utilizing these pipelines effectively. Additionally, the role encompasses contributions to hardware integration activities at CERN, as well as the exploration and optimization of novel ML algorithms for the Global system. The candidate will also play a pivotal role in developing the trigger menu and strategy for the HL-LHC programme, and will explore concepts such as anomaly detection and trigger-level analysis within ATLAS. This position includes team supervision responsibilities, making it essential for the candidate to possess strong leadership and collaborative skills.

Duties and Responsibilities:
The duties and responsibilities of the CERN SW/FW Developer Physicist include:

• Developing and maintaining efficient pipelines for the integration of ML algorithms into the Global firmware framework.
• Supporting the ATLAS Global community in the effective use of these pipelines.
• Contributing to Global hardware integration activities at CERN.
• Exploring, developing, and optimizing novel ML algorithms for the Global system.
• Leading the development of the trigger menu and strategy for the HL-LHC programme.
• Investigating and implementing concepts of anomaly detection and trigger-level analysis in ATLAS.
• Exploring the applicability of novel industry technologies to enhance the ATLAS Global system.
• Supervising team members and fostering a collaborative work environment.
• Engaging in continuous learning and professional development to stay abreast of advancements in the field.

Required Qualifications:
Candidates must possess a strong track record in developing novel ML algorithms, particularly in the context of particle physics experiments. A solid background in computational statistics is essential, along with a good understanding of digital electronics for data acquisition. Proficiency in modern C++ and Python programming techniques is required, as well as experience in writing and testing algorithms for data processing and filtering. Knowledge of hardware description languages (HDL) or high-level synthesis (HLS) tools and concepts is highly desirable. Candidates must also demonstrate strong spoken and written English skills, with a commitment to learning French.

Educational Background:
The ideal candidate should have a professional background with a PhD in Physics, Computer Science, or a related field. Alternatively, candidates with a Master's degree and 2 to 6 years of post-graduation professional experience will also be considered. Those with a PhD should have no more than 3 years of post-graduation professional experience. It is important that candidates have not previously held a CERN fellow or graduate contract.

Experience:
Candidates should have a proven level of experience in developing ML algorithms, particularly in high-energy physics or related fields. Experience in computational statistics and digital electronics is also crucial. The role requires a blend of theoretical knowledge and practical application, making hands-on experience in relevant projects highly valuable.

Languages:
Fluency in spoken and written English is mandatory for this position. Additionally, candidates should be committed to learning French, which is considered a valuable asset for communication within the organization and the local community.

Additional Notes:
This position is fully onsite and requires a commitment of 40 hours per week. The contract duration is initially set for 24 months, with the possibility of extension up to a maximum of 36 months. The job may involve working during nights, Sundays, and official holidays as required by the needs of the organization. The job reference for this position is EP-ATL-TRG-2026-123-GRAP. The compensation includes a monthly stipend ranging from 6372 to 7004 Swiss Francs, which is tax-free, along with 30 days of paid leave per year and additional benefits such as health insurance coverage, family allowances, and a relocation package.