CoreWeave
Solution Specialist, AI Runtime Services
$207K–$275K
Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA +5 · Full-time · Posted Jun 26, 2026
- Location
- Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
Bellevue, WA
Livingston, New Jersey, United States
Manhattan, New York, United States
San Francisco, California, United States
Sunnyvale, California, United States - Experience
- 10+ years in distributed systems, ML infrastructure, or production AI engineering; 5+ years working with AI runtime systems in a customer-facing or deal-shaping capacity.
- Education
- Advanced degree in Computer Science, Machine Learning, or Engineering, or equivalent experience (preferred).
- Visa sponsorship
- Position requires access to export-controlled information. Applicants must meet one of the stated U.S. person, export authorization eligibility, or likely-to-obtain-authorization conditions; CoreWeave may decline to pursue export licensing.
About the job
Creates and drives customer adoption of CoreWeave’s AI runtime services, shaping commercial strategy, technical playbooks, and product priorities for production-scale AI deployments.
What you'll do
- Win new customer business for AI runtime infrastructure and develop commercial frameworks for large-scale deployments.
- Advise customers on runtime performance, architecture, and cost tradeoffs; create playbooks and benchmarks for sales and solution architecture teams.
- Translate customer needs into product feedback and partner with product and infrastructure teams on runtime services.
What they ask for
- 10+ years in distributed systems, ML infrastructure, or production AI engineering, applying expertise to customer outcomes and revenue.
- 5+ years working with AI runtime systems in a customer-facing or deal-shaping capacity.
- Deep working knowledge of AI runtime execution, including serving frameworks, batching, GPU memory management, and performance at scale.
- Experience with isolated execution environments and strong understanding of GPU memory hierarchies, model parallelism, and Kubernetes-native runtime orchestration.
Nice to have
- Experience driving new business or product strategy in high-throughput AI runtime industries.
- Technical sales, solution consulting, or product management background supporting inference infrastructure or AI platform decisions.
Pay
$207,000 to $275,000 USD base salary
Tools
vLLM, TensorRT-LLM, TGI, Triton, Kubernetes
AI focus
Brings AI runtime services to market, including inference, model serving, and isolated execution; advises on serving performance, throughput, latency, and production-scale deployment.
Model-written summary · the original posting is authoritative