CoreWeave
Principal Solution Specialist, Core Services
$198K–$264K
San Francisco, CA / Seattle, WA +2 · Principal · Full-time · Posted Aug 19, 2026
- Location
- San Francisco, CA / Seattle, WA
Bellevue, WA
San Francisco, California, United States - Experience
- 10+ years in HPC, data center infrastructure, or GPU cluster engineering; 5+ years working with large-scale GPU clusters, RDMA networking, and distributed training frameworks.
- Education
- Advanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience (preferred).
- Visa sponsorship
- Position requires access to export-controlled information. Applicants must be a U.S. person, eligible to access the information without export authorization, or eligible and reasonably likely to obtain the required authorization; CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Creates and leads go-to-market strategy for new GPU compute and networking capabilities, securing early customer wins and turning field requirements into product-roadmap input and scalable sales playbooks.
What you'll do
- Lead commercial and technical strategy for new customer wins involving AI infrastructure, compute performance, networking, and reliability.
- Translate customer needs for GPU cluster topology, RDMA networking, and Kubernetes scheduling into roadmap feedback; develop playbooks, benchmarks, and deal structures.
- Work with customers and internal capacity, infrastructure, and networking teams on cluster architecture, large-scale GPU reservations, and deployments.
What they ask for
- 10+ years of experience in HPC, data center infrastructure, or GPU cluster engineering, applying expertise to customer outcomes and revenue.
- 5+ years working with large-scale GPU clusters, RDMA networking, and distributed training frameworks in a customer-facing or deal-shaping capacity.
- Deep working knowledge of InfiniBand, RoCE, and NVLink, including how topology, bandwidth, and latency affect distributed workloads.
- Experience deploying and tuning Kubernetes clusters for GPU workloads, including NVIDIA GPU Operator, MIG, and time-slicing.
Nice to have
- Experience driving new business or product strategy in compute-intensive industries; technical sales, solution consulting, or product management background.
- Advanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Pay
$198,000 to $264,000 (base salary)
Tools
NVIDIA A100/H100/H200, AMD MI300X, InfiniBand, RoCE, NVLink, Kubernetes, NVIDIA GPU Operator, PyTorch FSDP
AI focus
Enables adoption of AI training and inference infrastructure through GPU compute, high-speed networking, cluster architecture, and platform reliability.
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