Top Engineering Jobs in Seattle, WA

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

Own and run backend Go services for billing: demand/capacity matching, metering-to-invoicing pipeline, customer-facing APIs and dashboards. Ensure audit-grade revenue lineage, SLAs, observability, production hardening, and on-call readiness. Drive technical initiatives, mentor engineers, and collaborate with RevOps, Finance, and Product.

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.

As a Staff Software Engineer on the Inference team, you'll lead architecture and optimization for Kubernetes-native AI workloads, enhancing performance and reliability across services.

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.

As a Technical Sourcing Manager, you will lead strategic sourcing for hardware systems, negotiate with suppliers, and optimize supply chain strategies across Mechanical, Power, and Thermal systems.

Lead technical strategy and architecture for Developer Experience: build scalable build/test/delivery systems, improve CI/CD throughput, design internal platforms/APIs/SDKs/CLIs, integrate LLM/agentic tooling safely, mentor senior engineers, and drive cross-team initiatives to increase engineering velocity, reliability, and maintainability at organizational scale.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.