Top Engineering Jobs in Seattle, WA

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.

Configure, provision, monitor, and maintain large-scale GPU supercomputing clusters. Troubleshoot hardware, software, networking, and platform issues; coordinate resolutions across infrastructure teams; analyze system performance; document processes; improve operational efficiency; and participate in after-hours and weekend on-call rotations.

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.

Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.

Lead data infrastructure engineering for multi-regional datastores and stream-processing platforms. Drive technical decisions, mentor engineers, establish event-driven architecture, and design scalable managed data solutions. Improve platform performance, security, reliability, and scalability while participating in on-call support. Define data access and storage guidelines, ensure regulatory compliance, and operate distributed data systems using technologies such as Kubernetes, Kafka or NATS, NewSQL databases, Go, and Python.

Design, build, scale, and maintain CoreWeave’s IAM platform and distributed identity, authentication, and authorization services. Develop APIs and backend systems, optimize performance and availability, implement observability and automated tooling, and participate in on-call operations. Collaborate with product, design, and technical program teams on strategy and roadmap. Apply software engineering best practices, automated testing, CI/CD, security principles, and production troubleshooting to deliver maintainable, reliable cloud infrastructure services.

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.

Designs, automates, and supports server hardware infrastructure across its lifecycle, including provisioning, firmware management, monitoring, qualification, deployment, troubleshooting, and decommissioning. The role performs hardware and firmware root-cause analysis, manages vendor and OEM relationships, supports data center expansion, participates in on-call escalations, and improves reliability through automation, telemetry, documentation, and operational tooling.

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.