Drimva

Pure Storage

Senior Pre-Sales Systems Engineer, Higher Education (Northeast)

$141K–$234K

Remote, Massachusetts +5 · Remote · Senior · Full-time · Posted Sep 18, 2026

Location
Remote, Massachusetts
Remote, New York
Remote, Pennsylvania
Massachusetts, United States
New York, United States
Pennsylvania, United States
Experience
8 or more years of relevant experience across technology, solution design, and customer-facing communication.
Education
BS in CS, EE, another technical degree, or equivalent experience.

About the job

Leads pre-sales technical strategy for R1 higher-education accounts, designing and validating solutions that support research and institutional outcomes.

What you'll do

  • Develop account understanding and connect technology to research, operational, and financial outcomes, including business cases and total cost of ownership.
  • Support research workloads and data-management needs from instrument output through HPC and AI pipelines to long-term retention.
  • Lead evaluations, benchmarks, proofs of concept, system configurations, and technical responses to RFIs, RFPs, and RFQs.

What they ask for

  • 8 or more years of relevant experience across technology, solution design, and customer-facing communication.
  • Pre-sales or customer-facing technical experience and experience with higher education, research computing, academic medical centers, or the public sector.
  • Familiarity with HPC and AI environments, including parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and research data pipelines.
  • BS in CS, EE, another technical degree, or equivalent experience.

Nice to have

  • Knowledge of storage architectures and file systems; Linux, NFS, networking, cloud, containers, or data-intensive applications.
  • Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles.

Pay

$141,400 — $234,500 USD annual base salary range

Tools

HPC, AI, Slurm, NIST 800-171, CMMC, Linux, NFS, Kubernetes

AI focus

Supports research and AI workloads, including GPU-attached storage and data pipelines for genomics, imaging, or simulation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)