POSITION: Lawrence Berkeley National Laboratory has multiple openings for a Data Science Workflows Architect in Berkeley, CA.

Duties: Work closely with one or more ECP application development teams through the NERSC NESAP program to help optimize their code to run well on future HPC systems. Collaborate with other stakeholders like HPC technology vendors and library developers in the optimization process. Educate and train ECP users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Keep abreast of developments and research in the high- performance computing field, particularly within ECP, including algorithms, programming-models, tools and optimization strategies. Serve as a NERSC mentor for one or more postdoctoral fellows in application performance on ECP applications. Provide conceptual guidance to other technical experts and management. Serve as the principal NERSC mentor for one or more postdoctoral fellows in application performance. Serve as a principal NERSC POC with ECP on major projects and create new opportunities for NERSC to provide resources and services to new scientific projects and communities.

Benefits: This full salary range of this position is between $140,856 to $237,696 per year depending upon
candidates’ full skills, knowledge, and abilities, including education, certifications, and years of experience.

Requirements: Employer will accept a Bachelor’s degree in Computer Science, Physics, Computer Engineering, Software Engineering, or related field followed by 5 years of experience in the job offered or in a data science-related occupation. Alternatively, employer will accept a Master’s degree in Computer Science, Physics, Computer Engineering, Software Engineering, or related field and 36 months of experience in the job offered or in a data science-related occupation. Position requires:

1. Working with experiments that have real-time or large-scale computing requirements;
2. HPC systems, including use of a batch scheduling system;
3. Intel Xeon Phi, GPUs, or FPGAs;
4. Working on interdisciplinary projects involving multiple stakeholders and institutions;
5. C, C++, Python, or shell scripting;
6. System I/O, data transfer, or storage needs; and
7. Version control or debugging.

This position is eligible for LBNL’s Employee Referral Program benefit(s).

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) (https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse 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, or protected veteran status.
 
Equal Opportunity and IDEA Information Links: Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal
Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.