Top Engineering Jobs in San Francisco, CA

Leads CoreWeave’s multidisciplinary data center engineering organization and sets technical direction for its global portfolio. Governs Basis of Design documents, reference designs, standards, and long-term infrastructure roadmaps. Oversees integrated engineering across electrical, mechanical, civil, structural, architectural, controls, and life-safety disciplines; leads technical reviews, innovation, reliability, sustainability, supplier engagement, and resource planning. Partners with design, construction, commissioning, operations, technology, and supply chain teams to deliver scalable, high-density AI infrastructure.

Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.

Staff Product Quality Engineer role at CoreWeave. The provided posting contains compensation, benefits, equal opportunity, accommodation, and export-control information, but does not specify detailed responsibilities, technologies, or qualification requirements.

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.

Lead and grow a global team of Go developers building Kubernetes operators and automation for server fleet provisioning and lifecycle management. Set technical direction, prioritize work, and collaborate with hardware, fleet operations, and infrastructure teams. Establish onboarding, documentation, enablement, performance management, testing, deployment automation, observability, incident management, and reliability practices for large-scale fleet services.

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.

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.