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CoreWeave

Rents GPU cloud computing for AI developers

Staff Business Systems Engineer - Data Center Systems

Backend EngineeringUpdated on Nov 13
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • Direct, hands-on experience working in data center environments such as hyperscaler, cloud, or large-scale colocation environments, with a track record of building systems for them.
  • 8 to 12+ years of experience in Data Center Systems Engineering, Platform Engineering, or Software Engineering.
  • Experience building software platforms and services, including writing production code in a modern programming language such as Python or Go, designing databases and data models, and building APIs. Control systems and PLC programming are not the focus.
  • Strong experience with operational platforms such as DCIM, CMDB, or similar custom-built systems, and with the operational technology data that feeds them.
  • Experience designing and implementing systems that support the full asset lifecycle in complex, high-scale data center environments.
  • Experience building data ingest pipelines or integrations that move operational data between IT and OT systems, such as DCIM, BMS/EPMS, SCADA, or monitoring platforms.
  • Strong understanding of asset hierarchy modeling and infrastructure topology mapping, including power chains, single-line diagrams, and failure domains.
  • Ability to operate across ambiguous system problems and define scalable architecture solutions while collaborating across data center operations, Supply Chain, and engineering teams.
  • Experience building and maintaining integrations between inventory, logistics, and data center platforms such as DCIM and CMDB.
  • Experience enabling capabilities for asset capacity planning, inbound visibility, receiving readiness, deployment readiness, and lifecycle tracking.
  • Experience supporting global or multi-site data center environments.

Responsibilities

  • Build and own the platforms and solution architecture supporting the data center asset lifecycle across DCIM, CMDB, EAM, and related infrastructure and OT platforms.
  • Define and evolve the asset lifecycle, ensuring accurate representation of infrastructure assets from planned capacity through deployment and retirement.
  • Design and manage data models and databases to ensure accurate asset identity, hierarchy, power-chain relationships, and system-of-record alignment across platforms.
  • Contribute to the data center topology and graph model, representing relationships among power, cooling, network, and compute assets, including failure domains.
  • Collaborate with engineering, Supply Chain, and Data Center teams to build and maintain APIs and integrations that enable automation, reduce manual reconciliation, improve asset data integrity and real-time visibility, and track inventory, work in progress, and deployed assets.
  • Build data ingest pipelines that collect, normalize, and persist operational and telemetry data from power, cooling, and compute systems, handling protocol translation and data model mapping between IT and OT systems.
  • Partner with cross-functional stakeholders in Infrastructure, Data Center Operations, and Supply Chain to translate business requirements into scalable system designs.
  • Drive system standardization and consolidation to support high-volume assembly and deployment operations.
  • Define and manage the Data Center Systems roadmap, prioritizing scalability, reliability, clarity, and consistency of asset data.
  • Ensure systems support auditability and compliance for traceability and access control, partnering with Security and Compliance teams.
  • Act as the technical owner for cross-system issues impacting asset data integrity and lifecycle flow.
  • Write code, design databases and data models, and own projects end to end while delivering scalable, reliable solutions that support infrastructure growth.

Desired Qualifications

  • Hyperscaler experience.
  • Experience working in high-growth or rapidly scaling infrastructure environments.
  • Familiarity with industrial and data center protocols such as Modbus, MQTT, SNMP, Redfish, or BACnet.
  • Experience with Kubernetes, containerized deployments, or infrastructure-as-code such as Terraform.
  • Experience with graph data models, digital-twin representations, or time-series databases.
  • Familiarity with asset capacity planning, work-in-progress tracking, and inventory lifecycle systems.
  • Experience driving system consolidation and standardization across multiple platforms.
  • Exposure to financial systems or accounting workflows related to asset tracking.

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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