CoreWeave
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Cloud • Information Technology • Machine Learning
Leads and builds CoreWeave’s global enterprise risk and compliance function, including ERM frameworks, risk assessments, KRIs, risk appetite, governance, assurance coordination, compliance tracking, and Board and Audit Committee reporting. The role develops a risk team, partners across Security, Legal, Finance, IT, and Operations, and establishes scalable processes for a high-growth AI infrastructure company.
Cloud • Information Technology • Machine Learning
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.
Cloud • Information Technology • Machine Learning
Senior individual contributor responsible for managing network backbone and fiber connectivity programs supporting new data center markets and sites. Owns program plans, interdependencies, vendor deliverables, contracting, construction, testing, connectivity readiness, and service turn-up. Drives cross-functional accountability across Legal, Finance, Engineering, Operations, and Sourcing while managing risks, capacity constraints, route diversity, and critical-path milestones. Builds scalable intake workflows, tracking systems, milestone frameworks, and portfolio reporting.
Cloud • Information Technology • Machine Learning
Recruit technical and operational roles across Supply Chain, IT, and other hard-to-fill areas. Manage high-volume pipelines, develop sourcing strategies, partner with hiring managers and HR Business Partners, and deliver a high-touch candidate experience. Track recruiting metrics, optimize funnel performance, support diverse talent pipelines, and coordinate with People Operations, Compensation, and Onboarding teams across domestic and international markets.
Cloud • Information Technology • Machine Learning
Own infrastructure capacity planning for hardware New Product Introduction programs. Track power, cooling, network, and space roadmaps; determine hardware ordering cutovers; communicate scope and BOM requirements; and drive cross-functional readiness across Capacity, Supply Chain, Construction, Design, and Engineering. Translate new GPU, CPU, liquid-cooling, and rack hardware requirements into scalable data center designs, manage milestones and risks, support lifecycle transitions, and ensure infrastructure is ready for deployment.
Cloud • Information Technology • Machine Learning
Leads technical due diligence for prospective data center sites, evaluating electrical, mechanical, civil, structural, architectural, utility, zoning, and infrastructure feasibility. Reviews provider proposals, capacity data, conceptual layouts, and building documentation; identifies risks, upgrades, cost and schedule impacts; prepares go/no-go recommendations and technical assessments. Coordinates with utilities, landlords, developers, internal subject matter experts, and design teams, then hands secured sites to Design Managers. Frequent travel is required.
Cloud • Information Technology • Machine Learning
Own the strategy, roadmap, and execution for W&B Launch, infrastructure insights, and infrastructure-native developer tools integrating W&B with CoreWeave. Partner with frontier AI teams, platform engineering, and W&B engineering to improve job submission, compute orchestration, observability, and automated research workflows. Drive product concepts from discovery through launch, translate infrastructure needs into developer experiences, and measure and iterate on product impact.
Cloud • Information Technology • Machine Learning
Plans, procures, and manages backbone network capacity, including wavelength and dark fiber services. Reviews vendor solutions, forecasts network demand, optimizes circuit utilization, ensures redundancy and diversity, manages telecommunications vendors, maintains technical documentation, and supports network expansion. The role collaborates with engineering, operations, and product teams to resolve capacity issues and incorporate emerging technologies into global backbone planning.
Cloud • Information Technology • Machine Learning
Design and review data center white space infrastructure for high-density computing environments. Coordinate electrical, mechanical, cooling, low-voltage, cabling, and network pathway systems; review drawings, submittals, RFIs, and field conditions; oversee consultants; resolve design and constructability issues; and support construction, commissioning, and deployment. Contribute to design standards, scalability, technical documentation, and mentorship across CoreWeave’s data center portfolio.
Cloud • Information Technology • Machine Learning
Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.
Cloud • Information Technology • Machine Learning
Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.
Cloud • Information Technology • Machine Learning
Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.
Cloud • Information Technology • Machine Learning
Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.
Cloud • Information Technology • Machine Learning
Oversee vendor lifecycle operations, including onboarding, tax and banking verification, catalog setup, record maintenance, data cleanup, and process documentation in Coupa. Coordinate with stakeholders, procurement operations, IT, vendors, and offshore resources. Lead day-to-day offshore workloads, enforce service levels and compliance controls, resolve escalations, maintain procedures and workflow documentation, and report operational metrics to procurement leadership.
Cloud • Information Technology • Machine Learning
Own financial planning, forecasting, reporting, modeling, and cost optimization for data center operations. Partner with executive leaders and cross-functional teams on OpEx, CapEx, power strategy, leases, equipment financing, investment decisions, variance analysis, and long-range planning. Lead finance initiatives and translate complex data into actionable insights for executive decision-making.
Cloud • Information Technology • Machine Learning
Lead and develop an infrastructure engineering team responsible for internal Kubernetes platforms and foundational services. Set roadmaps, ownership, operating practices, and success metrics; guide reliable infrastructure and automation; establish testing, observability, SLO, incident response, change management, and on-call practices; resolve cross-team dependencies; and manage hiring, coaching, performance, priorities, and risk communication.
Cloud • Information Technology • Machine Learning
Manage technical revenue accounting and ensure ASC 606 and US GAAP compliance. Review sales contracts, develop accounting policies, prepare technical position papers, support SOX controls and audits, monitor accounting guidance, improve systems and automation, and provide cross-functional training. The role partners with Sales, Legal, FP&A, Product Management, Deal Desk, Business Systems, and General Ledger Accounting teams while supporting accurate revenue recognition and financial reporting.
Cloud • Information Technology • Machine Learning
Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.
Cloud • Information Technology • Machine Learning
Own fleet-wide reliability and operations programs for a rapidly scaling AI cloud infrastructure platform. Establish reliability metrics, dashboards, OKRs, and success criteria; identify systemic gaps across compute, storage, networking, hardware, firmware, software, and operations; and lead cross-functional initiatives that improve fleet readiness, availability, utilization, and stability. Manage dependencies, risks, incident follow-ups, root cause actions, and executive communications while ensuring improvements scale with fleet growth.
Cloud • Information Technology • Machine Learning
Build and operate internal support tooling for case triage, intelligent routing, diagnostics, incident workflows, and expert engagement. Develop AI-assisted automation, self-service diagnostics, observability dashboards, alerts, APIs, and Kubernetes-native controllers to improve reliability and reduce resolution time. Partner with Support/CX, Product, SRE, and engineering teams to prioritize initiatives, drive adoption, measure impact, and participate in on-call support.
