Argonne National Laboratory Containerization and Confidential Computing Architect in Lemont, Illinois
The Argonne Leadership Computing Facility (ALCF) runs some of the world’s largest supercomputers to enable breakthroughs in science and engineering to address some of the world’s most challenging and complex problems. For years, our bread and butter has been running very large simulations, sometimes consuming the entire machine, that ran for many hours through a batch scheduler. However, modern workloads are a mix of simulations, AI, and services, often containerized. We are primarily an open science facility, but even open science can have confidentiality concerns, for instance computational biology may need access to HIPAA data.
We are looking for someone to take the lead on integrating edge services, containerization, and confidential computing and how to integrate those into our facility infrastructure to best serve our users. High level use cases might include having a containerized vector database running in the service infrastructure that is accessed and updated by the AI application running on the supercomputer.
Today, these are run on a set of compute nodes, which is inefficient because it may not make use of the GPUs or other computational resources and it requires the database to be started and stopped for each job, causing potentially 1000s of nodes to sit idle until the database is up. We wish to be able to run confidential jobs, such as the computational biology application mentioned above on the same supercomputer as non-confidential jobs. We have a dedicated secure enclave to do this, but it is limited in size because we can’t afford to run two supercomputers one for confidential computing and one for open science.
If you want to help us solve some of the most exciting computational science problems in the world and have experience in containerization, particularly secure container solutions, running reliable and scalable services in a containerized environment, and/or experience with confidential computing environments such as HIPAA, ITARS, or similar, apply and let’s see what we can do together.
In this role you can expect to:
Develop methods for the solution of systems operation and cybersecurity.
Work closely with software development teams, project coordinators, software architects, and systems administrators to see that the solutions are implemented.
Ensure that innovative software applications utilize newly discovered techniques.
Cultivate relationships with scientists and engineers within the division, lab wide, and with other labs, universities, and industry on computational science, data science, software development, and software tool issues.
Experience in one or more of the following areas: containerization, security advanced computing, parallel tools, data-centric algorithms and tools, scientific visualization, collaborative tools, distributed computing, numerical methods, and/or software development.
Ability to effectively create, maintain and support high-quality software.
Experienced and skilled in interdisciplinary research involving mathematicians, computer scientists, and discipline scientists.
Utilizes independent judgment, the ability to abstract from specific problems to general solutions.
Ability to provide project leadership and to generate outside funding for research and development.
Systems software development experience (C, C++, Go, Rust, assembler or similar)
Experience and knowledge of containerization technologies (Docker, Podman, Kubernetes, OpenShift or similar)
Experience and knowledge of secure containerization technologies (gVisor, Kata containers, or similar)
Knowledge of HPC Scheduling systems is helpful, but not required
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
This position can be hired at one of two levels (RD4 or RD5), and the requirements for each are as follows:
RD4: Bachelor’s degree and 12+ years of experience, Master’s degree and 7+ years of experience, or PhD and 6+ years of experience, or equivalent
RD5: Bachelor’s degree and 15+ years of experience, Master’s degree and 12+ years of experience, or PhD and 10+ years of experience, or equivalent
Research Development (RD)
Software Engineering 4
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