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

Everpure•Remote, Texas, TX

1d•$141,400 - $212,100•Remote

About The Position

Everpure is hiring a Senior Pre-Sales Systems Engineer to support its Higher Education business, with a focus on R1 research universities. The role serves as the technical lead on customer accounts, partnering with account managers, specialists, and channel partners to develop solutions customers can justify technically and financially. The position is based in Austin, Texas. The role requires understanding each institution’s research priorities, funding cycles, financial constraints, and decision-making structures. The engineer connects Everpure’s portfolio and the broader technology ecosystem to measurable research and institutional outcomes, and adapts discussions for audiences ranging from principal investigators and researchers to IT, executives, finance, and procurement. The engineer supports research workloads across the data lifecycle, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive. The position also addresses data management, governance, reproducibility, sponsor and funding-agency expectations, security requirements, and business-case considerations such as total cost of ownership, power and cooling, data-center footprint, and staff time. Responsibilities include leading evaluations and technical wins, developing configurations, responding to procurement requests, and sharing market and research-computing trends with the organization.

Requirements

At least 8 years of relevant experience across technology, solution design, and customer-facing communication.
Pre-sales or other customer-facing technical experience.
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 data pipelines for genomics, imaging, or simulation.
Broad technical depth across at least two of the following: cloud, HPC, AI and machine-learning infrastructure, data management, core infrastructure, analytics, or financial and business applications.
A track record of value-based selling, uncovering customer objectives and connecting technology to business, operational, and financial outcomes.
Ability to hold credible conversations with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, adapting the message for each audience.
Comfort with ambiguity and sound judgment in challenging assumptions and helping customers navigate complex decisions.
Curiosity, empathy, an open mind, and an appetite for continuous learning.
Excellent verbal and written communication skills.
BS in computer science, electrical engineering, another technical discipline, or equivalent experience.

Nice To Haves

Knowledge of current and emerging storage architectures, including FC, iSCSI, NAS, SAN, and object storage, as well as file systems.
Linux, NFS, and distributed Linux environments.
VMware, Ethernet, TCP/IP, and general networking.
AWS, Azure, or GCP, and hybrid or cloud-native architectures.
Containers, Kubernetes, and microservices.
Experience with data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms.
Experience with grant-funded procurement, consortium purchasing, or public-sector contract vehicles.
Experience with higher education, research computing, or academic medical centers.
Familiarity with HPC, research, and AI environments, including parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation.

Responsibilities

Develop an understanding of institutional research priorities, funding cycles, capital and operating constraints, and decision-makers.
Connect Everpure technology and the broader ecosystem to measurable research and institutional outcomes.
Adapt technical discussions for principal investigators, research computing staff, central IT, CIOs, finance, and procurement.
Build business cases covering total cost of ownership, power and cooling, data-center footprint, staff time, and the current environment’s costs.
Support research workloads from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive.
Help customers address data lifecycle and retention, reproducibility, sponsor and funding-agency data-sharing expectations, research data governance, and applicable security requirements such as NIST 800-171 and CMMC.
Partner with account managers, specialists, channel partners, higher-education purchasing consortia, and contract vehicles.
Own evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win.
Capture customer requirements and translate them into solutions that grow research capability.
Author responses to RFIs, RFPs, and RFQs.
Monitor the competitive landscape and ensure positioning reflects it honestly.
Follow market and research-computing trends and bring relevant insights back to the organization.
Lead by example in living the Pure Values: Persistence, Creativity, Teamwork, Ownership, and Customer-first.