Senior GPU & HPC Infrastructure Consultant

Arke

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Arke in the United States is seeking a GPU/HPC Consultant to support fast-moving AI infrastructure teams as they scale complex compute environments. This role sits at the intersection of HPC, GPU infrastructure, cloud, and high-performance systems, focusing on performance, reliability, and scale across production environments.

You’ll guide deployment, tuning, and operator guidance with cross-team collaboration.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

GPU infrastructure
HPC
Cloud infrastructure
Kubernetes (production)
Distributed systems
Workload orchestration
High-performance storage
Networking at scale
Compute at scale
Consulting experience

Tools

Kubernetes
Cluster orchestration

Job description

Arke in the United States is seeking a GPU/HPC Consultant to support fast-moving AI infrastructure teams as they scale complex compute environments. This role sits at the intersection of HPC, GPU infrastructure, cloud, and high-performance systems, focusing on performance, reliability, and scale across production environments.

You’ll guide deployment, tuning, and operator guidance with cross-team collaboration.

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