GPU-Accelerated Interferometric Pipeline Engineer

1000scholars; Talence; On-site; EUR 45,000 - 65,000; Full time

Job summary

1000scholars in Talence seeks an Engineer to adapt the DDF-pipeline components to a task-based runtime system, enabling distributed and accelerator parallelism for GPU-based supercomputing. You will analyze, delineate tasks and restructure data flows while preserving scientific correctness across configurations.

You will collaborate with the PLER.RION team and INRIA researchers to extend GPU offloading to high-potential tasks, contributing to research software at the frontier of interferometric

Qualifications

• Strong level in C and Python programming.
• Fluency in Linux environments, Git and continuous integration processes.
• Fluency in parallel, distributed and GPU programming on high-performance platforms.
• Excellent spoken and written English.

Responsibilities

• Adapt calibration and imaging pipeline components to the task-based runtime system.
• Delineate tasks with balanced granularity to maximize scheduling opportunities.
• Adapt data structures for asynchronous data transfers and minimize data dependencies.
• Preserve and verify scientific results after transformation of the application.
• Identify high-potential GPU tasks and adapt routines for GPU offloading.

Job description

1000scholars in Talence seeks an Engineer to adapt the DDF-pipeline components to a task-based runtime system, enabling distributed and accelerator parallelism for GPU-based supercomputing. You will analyze, delineate tasks and restructure data flows while preserving scientific correctness across configurations.

You will collaborate with the PLER.RION team and INRIA researchers to extend GPU offloading to high-potential tasks, contributing to research software at the frontier of interferometric