<p></p><p>The <b><span>Argonne Leadership Computing Facility (ALCF)</span></b> is looking for an <b><span>AI/Machine Learning Software Engineer</span></b> to help build, deploy, and scale production-quality AI services that support cutting-edge scientific discovery. This is a hands-on engineering role for someone who enjoys turning powerful ideas into robust, usable systems. You will help productize AI capabilities at ALCF by building software services, deployment pipelines, and operational infrastructure that make advanced AI tools accessible, reliable, and scalable for researchers. Your work will directly support scientific users working at the frontier of AI, high-performance computing, and data-driven discovery.</p><p></p><p>This is an opportunity to work at the frontier of AI for science and the Department of Energy Genesis mission, where large-scale machine learning, scientific data, simulation, and leadership-class supercomputers come together to enable new modes of discovery. You will join the AI group - a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.If you are excited by building real systems, improving developer workflows, deploying services at scale, and supporting mission-driven research, this is a unique opportunity to contribute to one of the world’s leading computing environments.</p><p></p><p>In this role you can expect to:</p><ul><li>Design, build, deploy, and maintain <b><span>AI-enabled software services</span></b> that support scientific and operational use cases at ALCF</li><li>Build and improve <b><span>CI/CD pipelines</span></b><b>,</b> automated testing workflows, and engineering processes for AI software and services</li><li>Support deployment and operations in <b><span>containerized and orchestration environments</span></b><b>, </b>including <b><span>Kubernetes</span></b></li><li>Develop internal tools, APIs, and platform services that improve usability, access, and reproducibility for AI workflows</li><li>Conduct research and development aligned with Argonne’s strategic mission in computation, AI, and scientific discovery.</li><li>Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.</li></ul><p></p><p><b>This position qualifies as “Hybrid Remote Work - Mostly Onsite”:</b> which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.</p><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Position Requirements</b></p><p></p><p></p><p><b>Required Qualifications:</b></p><ul><li><b>RD2: </b>Bachelor’s degree and 5+ years of experience, or Master’s degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent experience</li><li>Educational background in computer science, software engineering, computational science, or a related field</li><li>Experience designing, building, and maintaining production software systems</li><li>Strong programming skills in one or more languages such as Python, C, C++, Rust</li><li>Experience with one or more AI frameworks such as PyTorch and vLLM.</li><li>Experience building or maintaining CI/CD pipelines and automated software delivery workflows</li><li>Good communication skills, both verbal and written.</li><li>Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork</li></ul><p></p><h2><b>Preferred Qualifications:</b></h2><ul><li>Experience with <b><span>model serving</span></b>, inference systems, or ML platform components</li><li>Experience with <b><span>Kubernetes operators, Helm, Argo, GitLab CI, GitHub Actions</span></b>, or related tooling</li><li>Experience with <b><span>cloud-native tools</span></b><b>,</b> infrastructure automation, or service observability</li><li>Experience with <b><span>running AI workloads on large-scale systems</span></b></li><li>Experience with multi-node or multi-accelerator execution and optimization.</li></ul><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Job Family</b></p>Research Development (RD)<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Job Profile</b></p>Computer Science 2<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Worker Type</b></p>Regular<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Time Type</b></p>Full time<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><h3></h3>The expected hiring range for this position is $94,486.00 - $147,398.94.<h3></h3><p style="text-align:inherit;"></p><p style="text-align:left;"><span><span>Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. </span></span></p><p style="text-align:inherit;"></p><p style="text-align:left;">Click <a href="https://www.anl.gov/hr/healthcare-insurance"><span>here</span></a> to view Argonne employee benefits!</p><h3></h3><p style="text-align:inherit;"></p><p><span>As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.</span></p><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left;">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.  </p><p style="text-align:inherit;"></p><p style="text-align:left;">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.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

<p class="break-words white-space-pre-wrap t-black--light text-body-medium">Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne's annual operating budget of around $1 billion supports upwards of 200 research projects. Since 1990, Argonne has worked with more than 600 companies and numerous federal agencies and other organizations. Argonne's mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation. We actively seek opportunities to work with industry to transfer our technologies to the marketplace through licensing, joint research and many other collaborative relationships. Argonne is managed by UChicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. We are located on 1,500 acres (6.9 sq. km) in southwest DuPage County, Illinois 25 miles (40 km) southwest of Chicago. The site is completely encircled by the beautiful Waterfall Glen Forest Preserve.</p>

AI/Machine Learning Engineer

<p></p><p>The <b><span>Argonne Leadership Computing Facility (ALCF)</span></b> is looking for an <b><span>AI/Machine Learning Software Engineer</span></b> to help build, deploy, and scale production-quality AI services that support cutting-edge scientific discovery. This is a hands-on engineering role for someone who enjoys turning powerful ideas into robust, usable systems. You will help productize AI capabilities at ALCF by building software services, deployment pipelines, and operational infrastructure that make advanced AI tools accessible, reliable, and scalable for researchers. Your work will directly support scientific users working at the frontier of AI, high-performance computing, and data-driven discovery.</p><p></p><p>This is an opportunity to work at the frontier of AI for science and the Department of Energy Genesis mission, where large-scale machine learning, scientific data, simulation, and leadership-class supercomputers come together to enable new modes of discovery. You will join the AI group - a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.If you are excited by building real systems, improving developer workflows, deploying services at scale, and supporting mission-driven research, this is a unique opportunity to contribute to one of the world’s leading computing environments.</p><p></p><p>In this role you can expect to:</p><ul><li>Design, build, deploy, and maintain <b><span>AI-enabled software services</span></b> that support scientific and operational use cases at ALCF</li><li>Build and improve <b><span>CI/CD pipelines</span></b><b>,</b> automated testing workflows, and engineering processes for AI software and services</li><li>Support deployment and operations in <b><span>containerized and orchestration environments</span></b><b>, </b>including <b><span>Kubernetes</span></b></li><li>Develop internal tools, APIs, and platform services that improve usability, access, and reproducibility for AI workflows</li><li>Conduct research and development aligned with Argonne’s strategic mission in computation, AI, and scientific discovery.</li><li>Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.</li></ul><p></p><p><b>This position qualifies as “Hybrid Remote Work - Mostly Onsite”:</b> which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.</p><p></p><p></p><p><b>Position Requirements</b></p><p></p><p></p><p><b>Required Qualifications:</b></p><ul><li><b>RD2: </b>Bachelor’s degree and 5+ years of experience, or Master’s degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent experience</li><li>Educational background in computer science, software engineering, computational science, or a related field</li><li>Experience designing, building, and maintaining production software systems</li><li>Strong programming skills in one or more languages such as Python, C, C++, Rust</li><li>Experience with one or more AI frameworks such as PyTorch and vLLM.</li><li>Experience building or maintaining CI/CD pipelines and automated software delivery workflows</li><li>Good communication skills, both verbal and written.</li><li>Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork</li></ul><p></p><h2><b>Preferred Qualifications:</b></h2><ul><li>Experience with <b><span>model serving</span></b>, inference systems, or ML platform components</li><li>Experience with <b><span>Kubernetes operators, Helm, Argo, GitLab CI, GitHub Actions</span></b>, or related tooling</li><li>Experience with <b><span>cloud-native tools</span></b><b>,</b> infrastructure automation, or service observability</li><li>Experience with <b><span>running AI workloads on large-scale systems</span></b></li><li>Experience with multi-node or multi-accelerator execution and optimization.</li></ul><p></p><p></p><p><b>Job Family</b></p>Research Development (RD)<p></p><p></p><p><b>Job Profile</b></p>Computer Science 2<p></p><p></p><p><b>Worker Type</b></p>Regular<p></p><p></p><p><b>Time Type</b></p>Full time<p></p><p></p><h3></h3>The expected hiring range for this position is $94,486.00 - $147,398.94.<h3></h3><p></p><p><span><span>Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. </span></span></p><p></p><p>Click <a href="https://www.anl.gov/hr/healthcare-insurance"><span>here</span></a> to view Argonne employee benefits!</p><h3></h3><p></p><p><span>As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.</span></p><p></p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>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.  </p><p></p><p>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.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

AI/Machine Learning Engineer

About the Job

About the Company

Argonne National Laboratory

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