Julien Esseiva is a Computer Systems Software Engineer specializing in high-performance computing (HPC), parallel programming, and GPU programming for high energy physics (HEP). He holds an MS in Computer Science, where his master's thesis focused on adaptive scheduling of high energy physics applications on heterogeneous resources using distributed computing frameworks.

He is a member of the Celeritas project, a Monte Carlo particle transport code designed for HEP detectors simulation on GPUs. He is also a member of the ATLAS experiment at the Large Hadron Collider, where he is involved in the core software and simulation group. His responsibilities include preparing the ATLAS software framework for LHC Run 4.

His technical expertise encompasses Python, C++, CUDA, GPU programming, distributed computing frameworks including MPI and Ray, and containerization.

Area of Interest

• Software Engineering
• Computer Software
• Distributed Computing
• Particle Physics
• Concurrent Programming
• Distributed and Grid Systems

Education

• MS| University of Applied Sciences and Arts Western Switzerland, Delémont, Switzerland
• BS| School of Engineering and Architecture of Fribourg, Fribourg, Switzerland