{"schemaVersion":"jobsearcher.job.v1","id":"ac8dbd939ddf5f0c653a309f","url":"https://jobsearcher.com/jobs/ac8dbd939ddf5f0c653a309f","canonicalUrl":"https://jobsearcher.com/jobs/ac8dbd939ddf5f0c653a309f","title":"Data Science Workflows Architect","description":"Data Science Workflows ArchitectLawrence Berkeley National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex scientific workflows to join our team to help scientists take advantage of the most powerful computers in the U.S. As a member working at NERSC in the Data Science Engagement group, you will leverage cutting-edge technologies to advance the scientific mission of the Department of Energy.\r\nMore than ever, scientific discovery transforms our world. NERSC is at the forefront, operating some of the world's largest supercomputers for thousands of researchers who use computational power to solve society's most challenging problems. These researchers are increasingly leveraging the combined power of large-scale data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC's next major supercomputer, Doudna, will combine next generation GPUs, networking and storage coupled with advanced capabilities to support future scientific workflows. NERSC is also a major partner in key DOE initiatives to develop new capabilities for scientific innovation, including Integrated Research Infrastructure and the American Science Cloud.\r\nIn this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC) systems. You will be part of multidisciplinary and cross-institution scientific projects, working directly with scientists and instruments from around the world.\r\nThe selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level skills and experience.\r\nAt Level 3, you will:\r\nWork with domain scientists to integrate HPC resources at NERSC into their workflows.\r\nCollaborate with other teams at NERSC to ensure next generation NERSC systems such as the new supercomputer Doudna can be harnessed by the NERSC user community.\r\nCollaborate with teams across the Department of Energy to support Integrated Research Infrastructure and the emerging American Science Cloud.\r\nOptimize the user environment on NERSC supercomputers to maximize scientific productivity for the user community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g. Jupyter, Podman, Julia or Python), engaging with the developer and user community, helping to optimize systems to meet user needs, and monitoring system performance from an application perspective.\r\nDevelop and support services in data management, data movement, agentic AI, and workflow orchestration.\r\nEducate and train users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies.\r\nCommunicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs.\r\nWork on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.\r\nExercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.\r\nDetermine methods and procedures on new assignments and may coordinate activities of other personnel.\r\nNetwork with key contacts outside one's own area of expertise.\r\nIn addition to above, at Level 4, you will:\r\nWork on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.\r\nExercise independent judgment in methods, techniques and evaluation criteria for obtaining results.\r\nAt Level 3, we are looking for:\r\nTypically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience.\r\nWide-ranging expertise in the areas of scientific computational workflows, workflow tools, and/or High-Performance Computing.\r\nSoftware engineering experience, including version control, testing, debugging, and CI/CD.\r\nProgramming background in languages including (any one of) C/C++, Python, Julia, Rust, Go, and shell scripting.\r\nPrior experience managing computational needs and resources, either as a user or as an administrator.\r\nExcellent communication and interpersonal skills, able to express yourself clearly in both written (e.g. conference papers, technical papers, documentation, email) and oral (e.g. via zoom and in person) communication.\r\nDemonstrated ability to work effectively as part of a cross-disciplinary team.\r\nAbility to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.\r\nAbility to resolve complex issues in creative and effective ways.\r\nAbility to network and collaborate with key contacts outside one's own area of expertise.\r\nIn addition to above, at Level 4, we are looking for:\r\nTypically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience.\r\nBroad expertise and/or unique knowledge in the areas of complex scientific workflows, workflow tools, and/or High-Performance Computing.\r\nAbility to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.\r\nAbility to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.\r\nDesired skills/knowledge:\r\nAdvanced Degree (Masters or Ph.D) in a Scientific Domain\r\nExperience working with experiments that have real-time and/or large-scale computing requirements.\r\nExperience with HPC systems, including use of a batch scheduling system.\r\nExperience implementing and/or integrating computational workflow tools to support scientific research.\r\nUnderstanding of and experience with data analysis and/or AI tools and platforms.\r\nExperience deploying and utilizing Jupyter or other interfaces for interactive data exploration.\r\nExperience with cloud technologies, software, interfaces/APIs and containers.\r\nExperience with (and enthusiasm for) modern computing architectures including GPUs and other Accelerators.\r\nExperience in working on interdisciplinary projects involving multiple scientific and technical teams and institutions.\r\nWe're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!\r\nAdditional information:\r\nApplication date:Priority consideration will be given to candidates who apply byMarch 4, 2026. Applications will be accepted until the job posting is removed.\r\nAppointment type:This is a full-time, career appointment, exempt (monthly paid) from overtime pay.\r\nSalary range:\r\nLevel 3:The expected salary for this position is $156,864 - $191,724, which fits into the full salary of $139,440 - $235,308 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nLevel 4:The expected salary for this position is $178,644 - $218,364, which fits into the full salary of $158,808 - $267,996 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nBackground check:This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.\r\nWork modality:This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs.\r\nWant to learn more about working","company":"Lawrence Berkeley Lab","rawCompany":"lawrence berkeley lab","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:06:05.685Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science Workflows Architect","description":"Data Science Workflows ArchitectLawrence Berkeley National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex scientific workflows to join our team to help scientists take advantage of the most powerful computers in the U.S. As a member working at NERSC in the Data Science Engagement group, you will leverage cutting-edge technologies to advance the scientific mission of the Department of Energy.\r\nMore than ever, scientific discovery transforms our world. NERSC is at the forefront, operating some of the world's largest supercomputers for thousands of researchers who use computational power to solve society's most challenging problems. These researchers are increasingly leveraging the combined power of large-scale data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC's next major supercomputer, Doudna, will combine next generation GPUs, networking and storage coupled with advanced capabilities to support future scientific workflows. NERSC is also a major partner in key DOE initiatives to develop new capabilities for scientific innovation, including Integrated Research Infrastructure and the American Science Cloud.\r\nIn this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC) systems. You will be part of multidisciplinary and cross-institution scientific projects, working directly with scientists and instruments from around the world.\r\nThe selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level skills and experience.\r\nAt Level 3, you will:\r\nWork with domain scientists to integrate HPC resources at NERSC into their workflows.\r\nCollaborate with other teams at NERSC to ensure next generation NERSC systems such as the new supercomputer Doudna can be harnessed by the NERSC user community.\r\nCollaborate with teams across the Department of Energy to support Integrated Research Infrastructure and the emerging American Science Cloud.\r\nOptimize the user environment on NERSC supercomputers to maximize scientific productivity for the user community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g. Jupyter, Podman, Julia or Python), engaging with the developer and user community, helping to optimize systems to meet user needs, and monitoring system performance from an application perspective.\r\nDevelop and support services in data management, data movement, agentic AI, and workflow orchestration.\r\nEducate and train users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies.\r\nCommunicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs.\r\nWork on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.\r\nExercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.\r\nDetermine methods and procedures on new assignments and may coordinate activities of other personnel.\r\nNetwork with key contacts outside one's own area of expertise.\r\nIn addition to above, at Level 4, you will:\r\nWork on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.\r\nExercise independent judgment in methods, techniques and evaluation criteria for obtaining results.\r\nAt Level 3, we are looking for:\r\nTypically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience.\r\nWide-ranging expertise in the areas of scientific computational workflows, workflow tools, and/or High-Performance Computing.\r\nSoftware engineering experience, including version control, testing, debugging, and CI/CD.\r\nProgramming background in languages including (any one of) C/C++, Python, Julia, Rust, Go, and shell scripting.\r\nPrior experience managing computational needs and resources, either as a user or as an administrator.\r\nExcellent communication and interpersonal skills, able to express yourself clearly in both written (e.g. conference papers, technical papers, documentation, email) and oral (e.g. via zoom and in person) communication.\r\nDemonstrated ability to work effectively as part of a cross-disciplinary team.\r\nAbility to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.\r\nAbility to resolve complex issues in creative and effective ways.\r\nAbility to network and collaborate with key contacts outside one's own area of expertise.\r\nIn addition to above, at Level 4, we are looking for:\r\nTypically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience.\r\nBroad expertise and/or unique knowledge in the areas of complex scientific workflows, workflow tools, and/or High-Performance Computing.\r\nAbility to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.\r\nAbility to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.\r\nDesired skills/knowledge:\r\nAdvanced Degree (Masters or Ph.D) in a Scientific Domain\r\nExperience working with experiments that have real-time and/or large-scale computing requirements.\r\nExperience with HPC systems, including use of a batch scheduling system.\r\nExperience implementing and/or integrating computational workflow tools to support scientific research.\r\nUnderstanding of and experience with data analysis and/or AI tools and platforms.\r\nExperience deploying and utilizing Jupyter or other interfaces for interactive data exploration.\r\nExperience with cloud technologies, software, interfaces/APIs and containers.\r\nExperience with (and enthusiasm for) modern computing architectures including GPUs and other Accelerators.\r\nExperience in working on interdisciplinary projects involving multiple scientific and technical teams and institutions.\r\nWe're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!\r\nAdditional information:\r\nApplication date:Priority consideration will be given to candidates who apply byMarch 4, 2026. Applications will be accepted until the job posting is removed.\r\nAppointment type:This is a full-time, career appointment, exempt (monthly paid) from overtime pay.\r\nSalary range:\r\nLevel 3:The expected salary for this position is $156,864 - $191,724, which fits into the full salary of $139,440 - $235,308 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nLevel 4:The expected salary for this position is $178,644 - $218,364, which fits into the full salary of $158,808 - $267,996 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nBackground check:This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.\r\nWork modality:This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs.\r\nWant to learn more about working","datePosted":"2026-04-09T08:06:05.685Z","dateModified":"2026-04-09T08:06:05.685Z","hiringOrganization":{"@type":"Organization","name":"Lawrence Berkeley Lab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ac8dbd939ddf5f0c653a309f"},"url":"https://jobsearcher.com/jobs/ac8dbd939ddf5f0c653a309f"}}