HPC/AI Data Performance Engineer

Lawrence Berkeley National Laboratory-posted 2 months ago
$156,864 - $191,724/Yr
Full-time • Mid Level
Berkeley, CA
101-250 employees
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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.

  • 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.
  • Bachelor’s degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred.
  • 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.
  • 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.
  • Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
  • 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.
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