Top Engineering Jobs in San Francisco, CA

Lead end-to-end technical delivery of large-scale bare-metal GPU clusters for strategic customers: facility/rack design, GPU cluster bring-up, InfiniBand/RoCE fabric validation, HPC benchmarking and remediation, operational models for BMaaS, and cross-team product feedback. Act as primary technical customer contact, run proofs-of-concept, collaborate with engineering teams, and support security-sensitive, production-ready supercomputers.

Lead design, build, and operation of a cloud-based VDI platform (Ubuntu and Windows 11). Own cloud infra, Teleport and Okta integration, image pipelines (Packer), config management (Chef/Ansible/Terraform), security agent bake-in, audit logging/SIEM, cost governance, testing, patch cadence, runbooks, and incident response for a production VDI fleet.

Lead operational readiness reviews for large-scale data center projects, identify design/construction/commissioning gaps, drive corrective actions, validate turnover readiness, coordinate across design, construction, commissioning, and operations to ensure mission-critical infrastructure meets standards and is handed off reliably.

Build, maintain, and optimize scalable front-end systems and web experiences. Translate Figma designs into reusable components, support large-scale site migrations, improve performance, accessibility, and SEO, and work with cross-functional teams using modern workflows and AI-assisted tools.

As a Security Production Engineer, you'll ensure security systems' reliability, develop automation, collaborate on performance optimization, and mentor team members.

As a Solutions Architect, engage with customers to architect cloud solutions, optimize workloads, and provide technical leadership while collaborating with engineering teams.

As a Solutions Architect at CoreWeave, you'll lead customer engagement, optimize cloud infrastructure solutions, and collaborate closely with engineering teams on product development and enhancements.

Lead and expand the SRE/Production Engineering team to ensure platform reliability, performance, and operational efficiency. Drive SRE strategy, automation-first practices (IaC, Terraform, Kubernetes), incident management, postmortems, SLO/SLA frameworks, on-call strategy, and system hardening. Collaborate with engineering, product, hardware, and security teams to build scalable, resilient, self-healing AI-focused cloud infrastructure.

Lead and grow engineering teams owning compute infrastructure for internal and external AI customers. Define roadmap, ensure availability and performance, design secure scalable systems, partner with Product and customer-facing teams, and improve operational practices for compute, containers, virtualization, and bare-metal GPU deployments.

The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.