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CoreWeave

Rents GPU cloud computing for AI developers

Senior Specialist Field Engineer - Compute Infrastructure

Implementation & Technical Account ManagementUpdated on Nov 13
Full-timeLondon, UKIn-person

About the Job

Requirements

  • A B.S. in Computer Science or a related technical discipline, or equivalent experience.
  • At least 7 years of experience as a Solutions Architect, Field Engineer, Infrastructure/Systems Engineer, or Technical Account Manager in Cloud Infrastructure, focused on building or operating distributed systems or HPC/cloud services, with expertise in bare-metal compute infrastructure and large-scale GPU cluster delivery.
  • Experience with modern rack-scale GPU server hardware, such as NVIDIA HGX, GB200/GB300, and Vera Rubin NVL72 systems.
  • Expertise with high-speed interconnects, including InfiniBand, RoCE, and NVLink.
  • Expertise with the firmware, BMC, and BIOS layers.
  • Hands-on experience bringing up, validating, and operating large GPU clusters, including bare-metal PXE boot, hardware health, fabric validation, HPC acceptance and performance testing, and integration of bare metal with orchestration layers such as Kubernetes and Slurm.
  • Expert-level Linux system administration and command-line troubleshooting, paired with strong networking fundamentals, including routing, fabric topologies, and TCP/IP.
  • A proven track record of building customer relationships, communicating clearly, and explaining complex technical concepts to technical and non-technical audiences.

Responsibilities

  • Serve as the primary technical point of contact for customers, establish strong technical relationships, and ensure their success with CoreWeave cloud infrastructure offerings, focusing on bare-metal compute infrastructure and end-to-end cluster delivery within HPC environments.
  • Own the technical path from facility and rack design to a validated, production-ready supercomputer, spanning logical design, infrastructure engineering, provisioning, validation, operations, and support.
  • Lead bring-up and acceptance of new large-scale GPU clusters; drive InfiniBand/RoCE fabric validation and HPC performance benchmarking, such as NCCL and ib_write_bw; and remediate fabric, optics, firmware, and node-level issues to meet customer performance targets.
  • Define and operationalize models for managing customer bare-metal fleets at rack level and above, including IT service, break-fix, network and firmware management, BMaaS, and customer self-service patterns.
  • Partner with Data Center Operations, Fleet Operations, and Networking teams to align facility, hardware, and fabric readiness with customer go-live timelines and operational SLAs.
  • Review and advise on customer-facing technical contract terms, including service scope, operational responsibilities, SLAs, isolation requirements, and support boundaries.
  • Lead proof-of-concept initiatives to showcase the value and viability of CoreWeave solutions within specific environments.
  • Provide technical leadership and direction during customer meetings, presentations, and workshops, addressing technical queries and concerns.
  • Act as a virtual member of the Compute Infrastructure, Fleet Operations, and Networking engineering teams, identify product enhancement opportunities, and collaborate with engineers to implement suggestions.

Desired Qualifications

  • Experience operating security-sensitive, air-gapped, or otherwise locked-down customer environments.
  • Experience with scripting and automation for bare-metal provisioning, infrastructure validation, and lifecycle management, using Python, Bash, Ansible, or similar tools.
  • Experience designing AI supercomputers from MEP designs.
  • Experience delivering bare-metal infrastructure at scale for large strategic customers or AI research labs.
  • Experience building solutions across multi-cloud or hybrid environments.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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