HPC/AI Data Performance Engineer

Lawrence Berkeley National Laboratory • Berkeley, CA

2d • Hybrid

About The Position

In this exciting role, you will serve as a Data Performance Engineer in NERSC’s Application Performance Group, architecting HPC and AI data services that advance fundamental science. You’ll optimize storage systems for Doudna, NERSC’s next supercomputer, and develop I/O and data management solutions for the American Science Cloud. Working with lab, academic, and industry partners, you will help design and deploy advanced storage and data management solutions, support I/O needs for HPC and AI applications, and collaborate with scientists to optimize data workflows for their research.
The selected candidate(s) will be hired at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on your level skills and experience.

Requirements

• Bachelor’s degree in Physical Sciences, Computer Science or related field or equivalent is required.
• 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 experience in the areas of data management, storage and I/O as applied to scientific data.
• Ability to troubleshoot and resolve complex issues in creative and effective ways.
• Ability to network and collaborate with key contacts outside their own area of expertise.
• Excellent oral and written communication skills.
• Excellent software development skills
• Proven ability to work productively both independently and as part of an interdisciplinary team balancing divergent objectives involving research, code development, supporting software and consulting with scientists.
• 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 data management, storage and I/O as applied to scientific data is required.

Nice To Haves

• Masters and PhD degrees in similar disciplines are preferred.
• Familiarity with HPC/AI storage architectures and technologies.
• Experience with I/O optimization of scientific and /or AI workloads.
• A proven track record of software development in computing, AI, or domain sciences.
• Familiarity with computing hardware, storage systems, and data management systems.

Responsibilities

• Develop AI storage and I/O services on NERSC’s advanced computing and data systems to support fundamental science.
• Support storage and I/O software on NERSC supercomputers, deploy new cutting-edge tools and frameworks for scalable scientific workflows.
• Provide expert I/O engineering engagement and training events to scientists and users of NERSC computing resources.
• Engage with the AI and HPC storage community to stay on top of the latest advancements in services and software.
• Shape future NERSC supercomputers, evaluating new storage systems for AI and HPC.
• Collaborate with scientists and industry partners to enable transformative science.
• Determine methods and procedures on new assignments and may coordinate activities of other personnel.
• Network with key contacts outside their own area of expertise.
• 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.
• Mentor early career staff members in computing services, techniques and projects
• Stay abreast of new and emerging trends in Storage, I/O and AI, through collaborations, workshops, and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users.
• Develop strategy for addressing both performance, as well as productivity requirements of the science community.
• 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.

Benefits

• Exceptional health and retirement benefits, including pension or 401K-style plans
• Opportunities to grow in your career: Tuition assistance program
• A culture where you’ll belong. We are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees