Requirements Must have: - Bachelors degree in a science or technology field; 4 additional years of experience may substitute for the degree - Over 8 years of professional experience in a related role - At least 5 years of experience working in Linux environments that support distributed computing or
SAIC is looking for a highly qualified HPC Support Engineer to support the Army’s Golden Dome initiative. The engineer will support users executing workloads within Linux-based High Performance Computing (HPC) cluster environments used for distributed compute workloads, simulation environments, and
Overview *HPC Support Engineer** *Location: Charlottesville, VA** *Clearance Required:** Active TS (SCI eligibility) clearance At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cut
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower empl
*HPC Support Engineer -** Charlottesville, VA (100% Onsite) - Active TS/SCI Clearance Required ### **About the Role** Phoenix is seeking an **HPC Support Engineer** to support users executing computational workloads within advanced Linux-based High Performance Computing (HPC) environments. This role
*All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.** *Description** Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Support Engineer to assist users executing computational workloads within secure High Performanc
The Process Engineer supports the Continuous Improvement team by analyzing, mapping, and optimizing operational workflows across the enterprise. This role is grounded in understanding how work actually happens—identifying root causes, eliminating inefficiencies, and designing future-state processes