Jobs at CoreWeave

Leads technical sourcing strategy for data center hardware and infrastructure portfolios. Owns supplier selection, RFI/RFQ/RFP processes, negotiations, contracts, cost modeling, supply resilience, supplier performance, and lifecycle management. Partners cross-functionally with engineering, finance, legal, operations, and planning teams to secure capacity, optimize total cost of ownership, mitigate supply risks, and support transitions from prototype through global production deployment.

Leads data center site selection across the Americas, from market screening and technical, utility, regulatory, and environmental due diligence through lease execution and delivery readiness. Coordinates Engineering, Finance, Legal, Capacity Planning, Program Management, and external partners while managing pipeline documentation, transaction milestones, risks, and executive approvals. Evaluates opportunities, supports lease negotiations, maintains Salesforce records, and ensures successful handoffs into buildout and operations.

Develop advanced threat detection capabilities, custom alert logic, threat-hunting exercises, and real-time incident response processes. The role collaborates with Red and Purple Teams, researches emerging threats, improves security visibility, contributes to security architecture and controls, and supports security assessments. Responsibilities include Kubernetes-focused detection, multiple query and programming languages, endpoint event analysis, incident containment, remediation, and occasional after-hours on-call participation.

Build and operate security infrastructure, including SIEM systems, large-scale data pipelines, searchable data lakes, and security observability capabilities. Integrate infrastructure sources, acquire and process high-volume logs, and support detection, threat hunting, and insider-risk programs. Collaborate with security, data platform, and infrastructure teams to deliver reliable, scalable solutions using Go or Python, Kubernetes, Elasticsearch, and related technologies.

Leads manufacturing program execution across NPI and sustaining operations, including EVT through MP readiness, build and test planning, transition to production, risk management, quality issue resolution, supply chain strategy, and executive communication. Coordinates engineering, manufacturing, supply chain, quality, contract manufacturers, and product management to drive milestones, readiness gates, corrective actions, and cross-functional decisions.

Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.

Design, implement, and operate CoreWeave’s attestation infrastructure and cryptographic systems. Build services that verify cloud infrastructure integrity using hardware roots of trust, manage PKI, HSMs, secrets, and key-management integrations, and develop scalable automation for trusted infrastructure data. Collaborate across teams to deliver secure, reliable cryptographic services. Requires strong PKI knowledge, software development skills in Go or Python, Kubernetes experience, and at least five years in security or infrastructure engineering.

Develop and maintain scalable software for CoreWeave’s GPU infrastructure validation and performance testing platform. Build automated performance tests and hardware validation workflows, maintain Kubernetes controllers and operators, extend open-source tooling for system metrics and health visibility, troubleshoot infrastructure at scale, and participate in on-call support. The role requires Go or Python development and production-scale Kubernetes experience, with backend, hardware testing, HPC, and AI/ML infrastructure experience preferred.

Lead CoreWeave’s OT and network security programs across owned data centers and colocation providers. Responsibilities include establishing asset inventories, vulnerability management, security standards, network access controls, compliance assurance, exception processes, and third-party accountability. The role translates technical priorities into program plans, manages risks and dependencies, tracks measurable outcomes, and communicates with engineering, operations, security, legal, and executive stakeholders.

Lead design of data center fit outs, ensuring compliance with project requirements and coordinating across teams. Manage projects from design through construction.

Lead electrical engineering design and delivery for hyperscale data center facilities. Develop scalable electrical infrastructure solutions, review consultant and contractor designs, validate electrical loads and system performance, conduct technical studies, ensure code compliance, and support testing, inspections, commissioning, troubleshooting, budgets, and schedules. Coordinate with consultants, vendors, IT, operations, mechanical, and project teams. Travel to various data center sites is required.

Leads CoreWeave’s Design Management team and oversees multidisciplinary design delivery across a global data center portfolio. Responsibilities include team development, resource allocation, design governance, consultant and provider management, budget and schedule coordination, risk and change management, executive reporting, and construction and commissioning support. The role ensures coordinated, constructible designs meet technical, quality, scope, schedule, and business requirements while resolving complex portfolio-level issues.

The posting identifies a Manager, Field Engineering role at CoreWeave, but does not provide specific responsibilities, qualifications, or team details. The position involves field engineering management in an AI cloud infrastructure environment. The role requires access to export-controlled information and may require U.S. person status or export authorization eligibility.

Design and build secure, high-performance sandboxed runtime environments for Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource-management strategies; integrate containers, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, and GPU architecture decisions.

As a Staff Software Engineer, lead the architecture and operation of GPU-driven infrastructure, focusing on automation, reliability, and scalability while mentoring engineers and collaborating across teams.

Support and maintain large-scale bare-metal GPU infrastructure across data centers. Diagnose customer issues and incidents, analyze logs across firmware, drivers, and hardware, coordinate data center interventions, troubleshoot networking, and participate in on-call operations. The role also develops automation, documentation, troubleshooting processes, and reliability improvements while collaborating with customers and engineering teams supporting HPC and AI workloads.

Leads architectural, MEP, and LV/IT design for multiple data center projects from feasibility through construction support. Coordinates consultants, providers, contractors, internal engineering SMEs, and vendors; manages design standards, deviations, budgets, schedules, equipment submittals, reviews, reporting, and site visits. Ensures high-density data center designs meet performance, efficiency, scalability, quality, and compliance requirements. Requires 25% travel to data center sites.

Develop, deploy, monitor, and improve services managing bare-metal infrastructure. Lead incident response, root-cause analysis, post-incident reviews, observability, automation, reliability engineering, disaster recovery, and on-call support. Build CI/CD pipelines, dashboards, alerts, and hardware lifecycle tooling using Go or Python, Kubernetes, Prometheus, Grafana, and Redfish-based services. Collaborate with engineering, fleet operations, vendors, and upstream communities to improve platform stability and reduce operational incidents.

Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.

Own and operationalize CoreWeave’s third-party risk management and external data-sharing programs. Responsibilities include maintaining data inventories, defining review and approval controls, monitoring data flows, conducting third-party security risk assessments, evaluating privacy and security controls, tracking remediation, reporting risk metrics, and advising technical and executive stakeholders. The role also contributes to TPRM strategy, privacy compliance, audit support, and cross-functional coordination with engineering, procurement, IT, and Legal.