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Cirrascale Corporation is looking for a Deployment Technician to join its Engineering Department. The role involves deploying high-performance servers and working independently to rack, cable, configure, and deploy GPU clusters. Strong Linux and networking skills are essential, along with the ability to travel for deployments.
Ideal candidates will have at least 3 years of experience in data center operations and a deep understanding of server architecture. A comprehensive benefits package is included.
Cirrascale Cloud Services provides high-performance cloud infrastructure purpose-built for deep learning, generative AI, and large-scale AI inference workloads. We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments.
Cirrascale Cloud Services is seeking a highly motivated and detail-oriented Deployment Technician to join our Engineering Department’s team of Deployment Technicians. In this hands‑on role, you will work independently under general direction to rack, cable, configure, and deploy high-performance servers; specifically cutting‑edge GPU clusters and bare‑metal AI infrastructure. If you thrive in autonomy, enjoy working with the latest data center hardware, have a strong foundation in Linux and networking, and take pride in seeing a system through from unboxing to live production, this is the role for you! Expect to travel 30‑40% of the time to support deployments across our growing footprint of data centers.
Physically unbox, rack, stack, and secure high‑performance computing servers, storage arrays, and networking equipment in the data center.
Cabling & Cable Management:
Route, connect, and organize complex high‑density cabling topologies, including Cat6/fiber Ethernet and InfiniBand/RoCE networks, adhering to strict data center cable management standards.
System Configuration & Provisioning:
Perform initial hardware configurations including BIOS/BMC firmware updates, RAID setup, and IPMI configuration to prepare nodes for network booting and OS deployment.
OS & Software Deployment:
Utilize internal tools and automation to deploy base operating systems (primarily Linux), install necessary drivers (especially NVIDIA GPU drivers/CUDA toolkits), and validate system readiness.
Diagnostics & Burn‑In Testing:
Execute rigorous hardware stress tests and burn‑in procedures on CPUs, memory, and GPUs to identify DoA (Dead on Arrival) components and ensure full system stability before handing off to production.
Inventory & Asset Management:
Accurately track hardware assets, serial numbers, and MAC addresses; manage RMA processes for faulty components with vendors.
Documentation:
Maintain and update internal wikis, deployment runbooks, and hardware topology diagrams to ensure accurate records of data center infrastructure.
Collaboration:
Work closely with Network Engineers, Systems Engineers, and Data Center Operations to troubleshoot deployment roadblocks and ensure seamless integration of new hardware into the Cirrascale cloud fabric.
The base salary range for the Deployment Technician is $38.00 to $45.00 / hour USD. This pay range reflects the broad, minimum to maximum, pay range for this job for the location for which it has been posted. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.
Comprehensive benefits package, including health, dental, and vision insurance, retirement plans, paid time off, and opportunities for professional development.
Join a growing team that’s pushing the boundaries of AI infrastructure. At Cirrascale, you’ll contribute to projects powering next‑generation AI applications while working with top‑tier hardware in a collaborative and innovative environment. From custom deployments to hands‑on customer support, every role here plays a part in enabling breakthroughs in AI.