GPU / HPC Consultant

Arke; United States; On-site; USD 120,000 - 180,000; Full time

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

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.