Senior Field Engineer — AI Cloud & HPC Storage

CoreWeave; Sunnyvale (CA); On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Catered lunch in office

Job summary

CoreWeave, The Essential Cloud for AI, is seeking a Senior Specialist Field Engineer to lead hands-on engagements across customers' lifecycles, from establishing their Kubernetes environments to developing proofs of concept and optimizing workloads.

You will work closely with Storage product and engineering teams to drive PoCs, workload optimization, and thought leadership on cloud technologies while traveling as needed.

Qualifications

• B.S. in CS or related field and 7+ years in cloud/HPC roles focusing on storage
• Proven ability to build customer relationships and explain complex technical concepts to technical and non-technical audiences
• Familiar with NVIDIA GPUs and storage/file system protocols and integration into infrastructure

Responsibilities

• Serve as the primary technical point of contact for customers and ensure their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within HPC environments
• Collaborate with customers to understand their needs and deploy tailored storage solutions
• Lead proof of concept initiatives to showcase value and viability of CoreWeave's solutions
• Drive technical leadership during customer meetings, presentations, and workshops
• Act as a virtual member of CoreWeave's Storage product and engineering teams to identify enhancements
• Share insights on product features and performance, contributing to product strategy and architecture

Skills

Cloud infrastructure

Storage concepts

Kubernetes

NVIDIA GPUs

Technical communication

Multi-cloud experience

Open-source contributions

Education

B.S. in Computer Science or related

Tools

Kubernetes

Job description

CoreWeave, The Essential Cloud for AI, is seeking a Senior Specialist Field Engineer to lead hands-on engagements across customers' lifecycles, from establishing their Kubernetes environments to developing proofs of concept and optimizing workloads.

You will work closely with Storage product and engineering teams to drive PoCs, workload optimization, and thought leadership on cloud technologies while traveling as needed.