GPU / HPC Consultant
arkeDenver (CO)
About the role
We’re looking for a GPU / HPC Consultant to support fast-moving Neocloud and AI infrastructure teams as they scale complex compute environments. This role is ideal for someone who has operated at the intersection of HPC, GPU infrastructure, cloud, and high-performance systems, and who enjoys solving hard problems in environments where speed, reliability, and scale all matter. You will work with teams building and operating next-generation infrastructure, helping them improve performance, stability, and delivery across production environments.
What you’ll do:
Advise on GPU and HPC infrastructure strategy. Support the design and operationalization of compute environments. Work across Kubernetes, cluster orchestration, scheduling, and performance tuning. Help teams troubleshoot and optimize large-scale GPU workloads. Partner with engineering, operations, and product teams to unblock delivery. Support neocloud customers with implementation, deployment, and scale challenges.
What we’re looking for:
Strong experience in GPU infrastructure, HPC, or cloud infrastructure. Hands-on knowledge of Kubernetes in production environments. Familiarity with distributed systems, scheduling, and workload orchestration. Understanding of high-performance storage, networking, and compute at scale. Ability to operate in ambiguous, fast-moving environments. Consulting, advisory, or customer-facing experience is a plus.
Nice to have:
Experience in neocloud, AI infrastructure, or data center environments. Exposure to NCCL, multi-node training, or inference workloads. Background in SRE, platform engineering, or infrastructure operations. Experience working with early-stage or high-growth companies.
Before you apply
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Your profile is current
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Two examples you can talk through
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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