Postdoctoral Appointee – Mixed/Reduced Precision Computing on Modern Hardware jobs in United States
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Argonne National Laboratory · 3 days ago

Postdoctoral Appointee – Mixed/Reduced Precision Computing on Modern Hardware

Argonne National Laboratory is seeking a Postdoctoral Appointee to work on mixed/reduced precision computing on modern hardware. The role involves diagnosing numerical challenges, devising novel techniques, and collaborating with domain experts to enhance the adoption of reduced precision computing in scientific applications.

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Culture & Values
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Responsibilities

Diagnosing and analyzing the numerical challenges related to the narrower data width
Devising and evaluating novel techniques to exploit the reduced precision hardware
Incorporating mixed/reduced precision into existing applications relevant to ALCF's mission
Developing and maintaining tools and libraries that facilitate the adoption of mixed/reduced precision computing in the broader community
Collaborating with domain experts to understand how the trend of reduced precision hardware impacts their practices and provide support in return
Publishing and presenting at professional venues

Qualification

PhD in relevant fieldIndependent research experienceProgramming proficiencyMixed/reduced precisionGPUsMathematical reasoningNumerical analysisInterest in domain collaborationEffective communication skillsTeam collaboration

Required

A PhD degree completed within the last 0-5 years (or soon to be completed) in numerical analysis, applied mathematics, computational science, computer science, or another relevant field
Independent research experience
Proficiency in programming and knowledge on computing hardware
Ability and willingness to work collaboratively in a team environment
Effective written and oral communication and interpersonal skills
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred

Knowledge on floating point arithmetic and mixed/reduced precision computing techniques
Experience with programming GPUs and/or other accelerators
Proficiency in mathematical reasoning and numerical analysis
Up-to-date awareness about the status and trend of the computing hardware industry
Interest in working with domain experts on practical problems
Experience with large-scale distributed systems
Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields

Benefits

Comprehensive benefits are part of the total rewards package

Company

Argonne National Laboratory

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Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.

Funding

Current Stage
Late Stage
Total Funding
$41.4M
Key Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant

Leadership Team

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Paul Kearns
Laboratory Director
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Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
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