Top Engineering Jobs in New York City, NY

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 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.

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.

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.