Drimva

Crusoe

Senior Staff Data Center Systems Engineer, R&D

$188K–$235K

Denver, CO - US · On-site · Senior Staff · Full-time · Posted Oct 22, 2026

Experience
15+ years of progressive engineering experience.
Education
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related discipline.

About the job

Leads R&D architecture for Crusoe’s data centers, evaluating emerging technologies and guiding integrated infrastructure concepts from pilot testing through hyperscale deployment.

What you'll do

  • Define integrated electrical, mechanical, thermal, and compute reference architectures; maintain system-level interfaces and standards.
  • Evaluate emerging technologies and guide them from feasibility and bench-scale testing through pilot deployment and hyperscale rollout.
  • Provide technical leadership, partner across engineering teams, and build relationships with vendors, startups, academic groups, and research institutions.

What they ask for

  • 15+ years of progressive engineering experience in data center design, large-scale infrastructure, hyperscale computing environments, or industrial power systems.
  • Ability to architect across engineering domains, including electrical power, mechanical/thermal systems, compute infrastructure, and facility design.
  • Working knowledge of power generation and distribution, cooling technologies including direct liquid cooling, facility design, and compute/networking infrastructure.
  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related discipline. Advanced degree preferred but not required.

Nice to have

  • Direct hyperscale experience in systems architecture or principal engineering; modular or containerized data center design; DC power distribution; HPC and GPU-accelerated AI infrastructure; or mission-critical facility design.
  • Advanced degree.

Pay

up to $188,000 -$235,000+ Bonus (compensation range; pay type not specified)

Tools

direct liquid cooling, DC power distribution, high-performance computing (HPC), GPU-accelerated AI infrastructure

AI focus

Develops data center architectures and evaluates technologies to support AI infrastructure and GPU-accelerated workloads.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)