HPC​/AI Data Performance Engineer

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.

What you’ll do, at Level 3:

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.

In addition to above, at Level 4:

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.

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.

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.

In addition to above, at Level 4:

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.

Desired knowledge/experience:

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.

We’re here for the same mission – to bring science solutions to the world. Join our team and YOU will play a…