Top Engineering Jobs

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.

Design, build, and operate scalable multi-tenant file and block storage services for AI workloads. Own NFS and block data paths, Kubernetes CSI integration, control-plane capabilities, reliability, observability, security, and data protection. Develop provisioning, snapshots, quotas, encryption, and lifecycle management while partnering with infrastructure and platform teams. Mentor engineers and optimize high-performance distributed systems across CoreWeave’s storage fleet.

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 customer-facing technical engagements focused on networking for HPC/cloud environments. Design, prototype, and deploy Kubernetes-based solutions, optimize customer workloads, contribute product feedback, run proofs-of-concept, and represent CoreWeave at events. Collaborate with engineering teams on product improvements and R&D for emerging solutions.

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.

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.

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.

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.

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.