Senior Pre-Sales Systems Engineer, Higher Education (IN/MI)

Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision.

Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes.

Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement…

Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time…

Pre-sales or customer-facing technical experience.

Experience with higher education, research computing, academic medical centers, or the public sector.

Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging…

Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics…