Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

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.

Owns complex global AI infrastructure deals from architecture through execution and expansion. Structures pricing, terms, commitment economics, and integrated proposals; leads negotiations with executive customers and procurement teams; operates the infrastructure deal desk; and develops playbooks, TCO models, and approval processes. Partners with sales, legal, finance, product, engineering, capacity planning, and marketing teams to improve deal execution and translate customer infrastructure needs into business and product insights.

Serve as the technical partner for existing AI customers, driving platform adoption, expansion, and production workload success. Design and deploy LLM applications, troubleshoot complex technical challenges, advise engineering and executive stakeholders, and collaborate with account managers, product, support, and engineering. Provide deep expertise across AI infrastructure, models, orchestration, observability, and inference while representing customer feedback internally.

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.

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.

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.

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.