Johns Hopkins University
This role supports researchers at Johns Hopkins University by deploying, optimizing, and maintaining high-performance computing (HPC) systems and scientific software. The engineer manages GPU-accelerated workloads and containerized applications within Linux-based environments to facilitate data-intensive research. Responsibilities include designing computational workflows, troubleshooting complex technical issues, and collaborating with interdisciplinary teams.
Headquarters
Baltimore, Maryland, United States
Company Size
10001+ employees
Founded
1876
Johns Hopkins University, founded in 1876, is America’s first research university and is organized into nine world‑class academic divisions. It is a leading center for education, discovery, and clinical care — notable for its medical, public health, engineering, and science programs — that translates research into real‑world solutions. Through interdisciplinary scholarship, patient care, and global partnerships, Johns Hopkins advances knowledge and addresses complex societal and health challenges. The university attracts students, faculty, and collaborators worldwide and emphasizes innovation, civic engagement, and measurable impact.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Johns Hopkins University.
Johns Hopkins University didn’t post a salary, so this is our estimate from similar listings.
11% below the average for this role
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