Postdoctoral Appointee – High Performance Computing
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7236068 (Ref #: 417893)
- Posting Date: Apr 11, 2024
Job Description
The Argonne Leadership Facility (ALCF) is seeking a Postdoctoral Appointee who will contribute to the research and development of the nekRS CFD solver. Potential project areas include mesh partitioning, preconditioners, GPU kernel optimization and tuning, kernel translation and jit compilation, and the development of OCCA backends for novel platforms—like those in the ALCF JLSE and AI testbeds.
In this role you can expect to:
- Perform research and development improving the functionality and performance of the nekRS CFD solver on ALCF systems—including the Aurora exascale supercomputer.
- Collaborate with scientists and engineers across multiple Argonne divisions, other national laboratories and academic institutions, and industry.
- Contribute production quality code to open-source software used on platforms ranging from laptops to the world’s largest supercomputers.
- Promote findings through journal publications, conference presentations, workshops, technical reports, and other means.
- Strengthen your career path opportunities by honing in-demand skills—including advanced GPU programming, performance analysis and optimization, and the design and development of portable scientific software—on a diverse collection of cutting-edge hardware.
Position Requirements
Required Skills:
- Recent or soon-to-be completed PhD (typically completed within the last five years)
- 0-5 years of experience in computer science, engineering, applied mathematics, or another related field.
- Experience with C++ programming.
- Effective written and oral communication skills.
- Ability to work individually and collaboratively as part of a team.
- Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Preferred Skills:
- Proficiency in C++17 or later—including classes, polymorphism, templates, lambdas, exceptions, STL containers.
- Experience with GPU programing using CUDA, HIP, SYCL, OpenCL, or OpenMP.
- Experience with MPI programming—including non-blocking communication and neighborhood collectives.
- Familiarity with building and deploying scientific software on large HPC systems.
- Expertise in performance profiling and tuning of software.
- Familiarity with open-source software development and best practices.
- Experience using the nekRS CFD solver on leadership class HPC systems.
- Knowledge of the OCCA portability framework.
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.
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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.
