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Principal Solution Specialist, Core Services

CoreWeave· Global Field Organization
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Hybrid (San Francisco, CA), Hybrid (Seattle, WA)$198k - $264k + equity + bonusfull-timePosted 2mo ago

About the role

Principal Solution Specialist role focusing on Core Services (Compute and Networking) to identify new market opportunities, drive early wins, and translate field insight into product and roadmap inputs for CoreWeave’s foundational infrastructure.

Responsibilities

  • Own the commercial and technical strategy for net new customer wins in core AI infrastructure, where GPU compute performance, cluster networking, and platform reliability are the primary buying triggers.
  • Drive new business opportunities where compute bottlenecks, network bandwidth limitations, or bare-metal performance requirements are the barrier to scaling AI training and inference workloads on CoreWeave.
  • Translate customer requirements around GPU cluster topology, RDMA networking (InfiniBand, RoCE), and Kubernetes scheduling into specific product feedback that shapes CoreWeave's compute and networking roadmap.
  • Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate compute-heavy and networking-sensitive opportunities.
  • Engage directly with enterprise and research buyers as the authoritative voice on GPU cluster architecture, network fabric design, and the performance tradeoffs between instance types and topologies.
  • Design the commercial framework for large-scale GPU reservation deals, including MFU modeling, cluster sizing, and network bandwidth commitments that support large enterprise closings.
  • Partner with capacity, infrastructure, and networking teams to maintain a competitive edge on compute density, interconnect performance, and platform reliability across active and prospective customer deployments.

Qualifications

  • 10+ years of experience in HPC, data center infrastructure, or GPU cluster engineering, with a track record of applying that expertise to drive customer outcomes and revenue.
  • 5+ years working with large-scale GPU clusters (NVIDIA A100/H100/H200 or AMD MI300X), RDMA networking, and distributed training frameworks in a customer-facing or deal-shaping capacity.
  • Deep working knowledge of high-speed network fabrics (InfiniBand, RoCE, and NVLink) and how interconnect topology, bandwidth, and latency impact distributed training and inference at scale.
  • Experience deploying and tuning large-scale Kubernetes clusters for GPU workloads (NVIDIA GPU Operator, MIG, time-slicing) and positioning platform capabilities against customer performance and scalability requirements.
  • Strong understanding of compute instance types, CPU-GPU memory bandwidth, NVMe storage tiers, and power and cooling considerations as they relate to workload efficiency and enterprise deal structure.
  • Familiarity with distributed training frameworks (PyTorch FSDP, Megatron-LM, DeepSpeed) and how cluster architecture decisions impact training throughput, fault tolerance, and overall MFU.
  • Understanding of BGP, peering, and data center interconnect architectures as they relate to multi-region GPU deployments, data gravity, and enterprise network integration.

Skills

Required:GPU cluster topology designRDMA networking (InfiniBand, RoCE)

Benefits

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption
Last updated Aug 26, 2026. Interested? Apply on the company site.

About CoreWeave

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