Looking for a unique opportunity to work at the forefront of high-performance computing?
At the Argonne Leadership Computing Facility, we are helping to redefine what’s possible in computational science. With some of the most powerful supercomputers in the world and a talented and diverse team of experts, we enable researchers to pursue groundbreaking discoveries that would otherwise not be possible.
Check out our open positions below. For the most current listing of opportunities at the ALCF, please visit Argonne's Careers Website. Here, you’ll also find information on:
ALCF Career Opportunities
The selected individual will participate in the operation, administration, and maintenance of file systems for the supercomputing resources of the Argonne Leadership Computing Facility (ALCF). This includes some of the largest (10s-100s of PB) and fastest (100s-1000s of GB/s) parallel files systems in the world. For the home file system, stability and robustness to failure are paramount. For the parallel file system, performance is the critical demand. Coordinates with the other storage and operations team members for system administration duties. Appointee will participate in the design and planning for future machine upgrades (every 3-5 years), as well as investigate improved/novel approaches for providing file system and disk storage services. This position also includes SAN hardware responsibilities. If you are interested in this position, we invite you to apply for LCF Requisition #401526 by visiting Argonne's Career Page.
Assistant Computer Scientist - Machine Learning
Join the data sciences group and provide technology vision, innovations, development and support in data-centric workflows to facilitate computational simulations, experiments and analytics on large-scale systems for application domains including material science, genomics, neuroscience, engineering, and high energy physics. You will work in a highly collaborative environment involving science application teams, academia, industry as well as other national labs and agencies.The selected candidate must have advanced knowledge of machine learning, data mining, and/or statistics and a possess a strong background in mathematical optimization or linear algebra. If you are interested in this position, we invite you to apply for LCF Requisition #401071 by visiting Argonne's Career Page.
ALCF Postdoctoral Opportunities
Postdoctoral Appointee – HPC Scalable Scientific Data Visualization & Analysis
In this role, you will perform research and development in computational tools and methods for scalable scientific data visualization and analysis on high-performance computing systems. In particular, novel solutions focused on CPU-based techniques aimed at next-generation HPC resources will be targeted. Your work will involve collaboration with ALCF scientists, as well as ALCF applications teams and other collaborators to ensure that the tools developed address the needs of these growing communities. If you have interest in this position, we invite you to apply for LCF Requisition #401035 by visiting Argonne's Career Page.
Postdoctoral Appointee – HPC for Defective Materials Discovery and Design
Exciting opportunity for a highly motivated and talented individual who will contribute to multi-disciplinary team in a cutting-edge project for material discovery and design applying data analytics, machine learning, and high-performance computing. The candidate will work at the Argonne Leadership Computing Facility developing multi-scale methodologies and designing protocols for massive simulations of defective (non-stoichiometric or doped) materials. The study will help understand and control point defects in materials, and will help explain and predict ongoing experiments at the laboratory’s Advanced Photon Source facility. The chosen applicant will learn and exploit some of the world’s largest supercomputers and use state-of-the-art techniques in the latest computing architectures for data analytics and machine learning to solve one of the most complex and pressing problems in materials science. If you have interest in this position, we invite you to apply for LCF Requisition #401782 by visiting Argonne's Career Page.