GPU / HPC Consultant
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.
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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.
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You will work with teams building and operating next- infrastructure, helping them improve performance, stability, and delivery across production environments.
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What you’ll do
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- 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.
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What we’re looking for
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- 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.
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Nice to have
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- 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.
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