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Research Engineer / GPU Developer for Earth Sciences applications (RE2)


Barcelona Supercomputing Center


Not Specified

Organization URL

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Job Location Type


Job Location

Barcelona, Spain    

Applicant Location Requirements


Application Deadline

February 16, 2024

Context And Mission

The Earth Sciences Department at the Barcelona Supercomputing Center (BSC) ( is embarking on an umbrella of large-scale activities and developments linked to the implementation of a High-Resolution Emission System for Air Quality Prediction and Greenhouse Gas Monitoring. These activities are part of a large initiative on the “Modernization of observation networks and digitalization of production processes for the development of intelligent meteorological services in the context of climate change” in the framework of the European Recovery, Transformation, and Resilience Plan funded by the European Union-Next Generation EU.

In this ambitious and potentially rewarding endeavor, we need a variety of researchers, and research engineers in computer science. The applicants would ideally have interest in identifying model bottlenecks and research how to remove them, adaptation of parallel codes for accelerators (GPUs).

Key Duties

Porting and optimizing applications to efficiently run on supercomputers based on CPUs and GPUs
Design highly scalable, testable code
Use of novel GPU technologies
Close interaction with external collaborators/software vendors as NVIDIA or AMD

Special Requirements
Requirements Education Bachelor’s in Computer Science, Engineering, Mathematics, Physics, or related field. A Master’s or PhD is highly valued. Essential Knowledge and Professional Experience Computing skills in high-level computer languages (especially FORTRAN or C/C++) and experience with UNIX/LINUX environments and scripting languages (bash, Python,etc) Proficient in managing collaborative projects with Git or similar version control systems. Adherence to coding and documentation best practices and standards. Knowledge of CUDA or OpenACC Experience or knowledge in running and optimizing scientific codes on large HPC systems. Experience in GPU porting from CPU codes Demonstrated experience developing and running distributed scientific computing applications with a good understanding of scalability concerns particularly in HPC or cloud environments is an advantage Additional Knowledge and Professional Experience Fluency in English; Spanish language proficiency is optional (free lessons available after joining). Competences Strong interpersonal skills to collaborate effectively with a diverse team. Excellent written and verbal communication skills. Ability to take initiative, prioritize tasks, and meet deadlines. Capable of working both independently and collaboratively within a team environment.

Apply online or via email