Digital Twin Computing Engineer

Job Posting Organization:
CERN, the European Organisation for Nuclear Research, is a leading scientific research organization established to probe the fundamental structure of the universe. It employs physicists and engineers who utilize the world's largest and most complex scientific instruments to study the basic constituents of matter. CERN is known for its collaborative environment and operates in multiple countries, focusing on groundbreaking research in particle physics.

Job Overview:
The Digital Twin Computing Engineer position is part of the CERN IT Frontier Technologies and Initiatives (FTI) group, specifically contributing to the EC-funded ODISSEE project. This role involves testing and benchmarking cutting-edge computing technologies that are essential for scientific research. The engineer will evaluate and benchmark hardware platform demonstrators, collaborate with technology partners, and leverage tools developed in previous EC-funded projects to optimize AI workflows on HPC supercomputing systems. The position requires a strong commitment to innovation and collaboration, as the engineer will work closely with various stakeholders to ensure the successful execution of project goals.

Duties and Responsibilities:
The Digital Twin Computing Engineer will have a diverse set of responsibilities, including: testing and benchmarking hardware platform demonstrators using European digital technologies; collaborating with technology partners to evaluate digital twin frameworks; preparing detailed technical documentation and reports; representing CERN at international conferences; contributing to the evaluation of advanced computing systems; ensuring alignment with project goals and milestones; and actively participating in proof-of-concept hardware demonstrators to assess their performance and suitability for online data-intensive workloads.

Required Qualifications:
Candidates must possess a Master's degree or PhD in Computer Science or a related field, or equivalent relevant experience. Proven experience in using large supercomputing centres in Europe, familiarity with heterogeneous architectures, and experience with digital twin technologies are essential. Additionally, candidates should have experience in optimizing AI workflows on HPC systems and writing technical reports for EU research projects. Experience in data centre operations and optimization techniques is considered an asset, and prior experience as a Task Leader in EU research projects would be beneficial.

Educational Background:
A Master's degree or PhD in Computer Science or a related field is required for this position. Candidates should have a strong academic background that supports their technical competencies and understanding of advanced computing systems.

Experience:
The ideal candidate should have demonstrated experience in the following areas: large supercomputing centres in Europe, heterogeneous architectures (CPU, GPU, and other accelerators), digital twin technologies, and optimization of AI workflows on HPC systems. Experience in writing technical reports for EU research projects and familiarity with data centre operations will be advantageous. The candidate should also have experience leading tasks in EU research projects.

Languages:
Fluency in spoken and written English is mandatory, with a commitment to learn French being a valuable asset. This bilingual capability will enhance collaboration within the diverse environment at CERN.

Additional Notes:
This position is a limited duration contract for 2 years, with the possibility of applying for an indefinite position under certain conditions. The working hours are set at 40 hours per week, and the job grade is classified as 6-

• The recruitment process is open to applicants from all Member States and Associate Member States, reflecting CERN's commitment to diversity and inclusion in its workforce.