As a Specialist Field Engineer at CoreWeave, you will play a vital and dynamic role.
You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers’ entire lifecycle
From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn
Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave’s cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments
Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements
Lead proof of concept initiatives to showcase the value and viability of CoreWeave’s solutions within specific environments
Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise
Act as a virtual member of CoreWeave’s Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions
Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture
Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions
Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders
Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption
Represent CoreWeave at conferences and industry events, with occasional travel as required- B.S. in Computer Science or a related technical discipline, or equivalent experience
Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
Deep understanding of administrating Kubernetes clusters including controls such as RBAC, admission controllers, container security, etc
7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads
Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments
Experience with scripting and automation related to securing Kubernetes environments
Experience with building solutions across multi-cloud environments
Code contributions to open-source inference frameworks
Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures
