Data Science Workflows Architect at Lawrence Berkeley National Laboratory

Berkeley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

191724.0

Posted On

05 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, High Performance Computing, Workflow Tools, Software Engineering, Python, C/C++, Julia, Rust, Go, Shell Scripting, Data Management, Machine Learning, Jupyter, Cloud Technologies, AI Tools, Interdisciplinary Collaboration

Industry

Research Services

Description

Lawrence 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. More 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. In 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. The selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level skills and experience. At Level 3, you will: Work with domain scientists to integrate HPC resources at NERSC into their workflows. Collaborate 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. Collaborate with teams across the Department of Energy to support Integrated Research Infrastructure and the emerging American Science Cloud. Optimize 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. Develop and support services in data management, data movement, agentic AI, and workflow orchestration. Educate 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. Communicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs. Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine methods and procedures on new assignments and may coordinate activities of other personnel. Network with key contacts outside one’s own area of expertise. In addition to above, at Level 4, you will: Work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results. At Level 3, we are looking for: Typically 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. Wide-ranging expertise in the areas of scientific computational workflows, workflow tools, and/or High-Performance Computing. Software engineering experience, including version control, testing, debugging, and CI/CD. Programming background in languages including (any one of) C/C++, Python, Julia, Rust, Go, and shell scripting. Prior experience managing computational needs and resources, either as a user or as an administrator. Excellent 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. Demonstrated ability to work effectively as part of a cross-disciplinary team. Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors. Ability to resolve complex issues in creative and effective ways. Ability to network and collaborate with key contacts outside one’s own area of expertise. In addition to above, at Level 4, we are looking for: Typically 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. Broad expertise and/or unique knowledge in the areas of complex scientific workflows, workflow tools, and/or High-Performance Computing. Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Ability to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results. Desired skills/knowledge: Advanced Degree (Masters or Ph.D) in a Scientific Domain Experience working with experiments that have real-time and/or large-scale computing requirements. Experience with HPC systems, including use of a batch scheduling system. Experience implementing and/or integrating computational workflow tools to support scientific research. Understanding of and experience with data analysis and/or AI tools and platforms. Experience deploying and utilizing Jupyter or other interfaces for interactive data exploration. Experience with cloud technologies, software, interfaces/APIs and containers. Experience with (and enthusiasm for) modern computing architectures including GPUs and other Accelerators. Experience in working on interdisciplinary projects involving multiple scientific and technical teams and institutions. We’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! Additional information: Application date: Priority consideration will be given to candidates who apply by March 4, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full-time, career appointment, exempt (monthly paid) from overtime pay. Salary range: Level 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. Level 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. Background 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. Work 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. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Responsibilities

The Data Science Workflows Architect will support the user community in adapting and optimizing their workflows for High Performance Computing systems. This includes collaborating with domain scientists and other teams to enhance the scientific productivity of NERSC's supercomputers.