Assistant Computational Scientist
Argonne National Laboratory
Lemont, USA
Job posting number: #7211915 (Ref:417146)
Posted: January 30, 2024
Job Description
The Argonne Leadership Computing Facility seeks an Assistant Computer Scientist to work on porting and optimizing HPC simulation and scientific machine learning applications on diverse hardware systems including Polaris, Aurora, and accelerators in AI Testbed.
In this role you can expect to:
- Port and optimize HPC simulation kernels, codes, and scientific machine learning applications to diverse AI systems, and contribute to the design of future supercomputers and AI accelerators to meet the needs of these applications.
- Work in a multi-disciplinary environment that will offer opportunities to interact with a wide range of talents from the whole spectrum of HPC research.
- Present and publish your work at major symposia and in relevant journals.
- Conduct research and development in computational science and machine learning, with emphasis on developing software to combine simulation and AI in performance-oriented solutions on large-scale supercomputers.
- Contribute to discovery and technological advances in application science, with emphasis on the applications of exascale (and beyond) computer architectures.
- Strengthen your career path opportunities by applying new techniques, developing independent research capabilities and building professional skills such as communication, networking and leadership.
- Work closely with industry, national lab and universities on the design of current and future systems to meet the AI for science mission
This is a long-term temporary employment opportunity; the initial duration is one year and could possibly be extended.
Position Requirements
- Minimum of a PhD in computer science, computer engineering, computational science, or a related field.
- Experience with applications in one or more scientific areas.
- Experience with large-scale parallel applications using MPI.
- Experience with machine learning and deep learning frameworks, including PyTorch and TensorFlow.
- Experience in GPU and accelerated computing, including reduced precision.
- Experience related to parallel algorithms, I/O architectures, or performance evaluation and tuning.
- Effective written and verbal communication skills.
- Ability to model Argonne’s core values: impact, safety, respect, integrity, and teamwork.
Job Family
Research Development (RD)Job Profile
Computational Science 2Worker 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.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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.
