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Argonne National Laboratory · 1 week ago

Postdoctoral Appointee – Profiling AI Workflows on Supercomputers

Lemont, IL

Full-time

Onsite

New Grad, Entry Level

$73K/yr - $121K/yr

0+ years exp

Argonne National Laboratory is focused on accelerating scientific discoveries and engineering breakthroughs through advanced computing facilities. They are seeking a postdoctoral appointee to develop and scale profiling capabilities for large HPC workflows that integrate AI and traditional modeling, working closely with various partners in the scientific community.

EnergySecuritySocial Impact

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Enhance THAPI: Extend and optimize the THAPI profiler to concurrently profile AI/ML and ModSim components at scale

API & Tracing Integration: Design and implement new tracing API layers to capture fine-grained performance data across diverse runtime environments

Qualification

Performance profiling toolsC/C++ programmingHPC systems experienceAIModSim workflowsHPC programming modelsIndependent researchOpen-source contributionsEffective communicationTechnical writing

Required

Ph.D. (completed within the last 0-5 years) or equivalent experience in a computational science discipline, computer science, or in a related field

Hands-on experience with performance profiling and tracing tools (LTTng, Babeltrace, perf, ftrace, etc.)

Strong C (and/or C++) system-programming skills and familiarity with dynamic linking (e.g., ldd)

Experience developing and optimizing scientific workflows, ideally combining AI and traditional simulations

Experience with scientific computing and software development on HPC systems

Ability to conduct independent research and demonstrated publication record in peer-reviewed journals and conferences

The successful candidate will be expected to work with and contribute to open-source projects and community-driven initiatives within computational science

Effective communication skills, both verbal and written, for effective collaboration with interdisciplinary teams and clear presentation of complex technical information

Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork