Postdoctoral Appointee – Portability and AI at scale
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7243738 (Ref #: 418170)
- Posting Date: May 11, 2024
Job Description
Argonne’s Leadership Computing Facility (ALCF) is deploying one of the largest computing resources in the world, the Aurora exascale supercomputer. Working with scientists from all domains and industry experts, we are preparing scientific applications and AI frameworks to take advantage of this new resource for scientific discovery. Aurora will enable training of the first generation of Large Language Models for scientific applications. ALCF is also a leader in training the next generation of scientists to utilize supercomputers to further their research.
The facility is looking for a Postdoctoral appointee to engage with multiple projects working on performance portability, AI, and large scale simulation. As a Postdoc in ALCF, you will be working with scientists from multiple domains and enabling their research goals on Aurora through collaboration and innovation.
There are opportunities to engage with research in AI (LLMs, foundation models, etc), performance optimization, portable programming, differentiable programming, and much more. Our Postdocs are also important contributors to our training program that ensures our users excel.
Position Requirements
Required skills and qualifications:
- Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields.
- Experience contributing to scientific software in C++, Python, or comparable languages.
- Collaborative skills, including the ability to work well with other scientists, divisions, laboratories, and universities.
- Effective oral and written communication skills with all levels of the organization.
- Ability to model Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred skills and qualifications:
- Demonstrated experience with parallel algorithms, for example using frameworks like OpenMP, CUDA, Kokkos, SYCL, or similar.
- Demonstrated experience running applications at scale (> 50 computing nodes). This could be AI training, simulation, or data analytics.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
