Top Engineering Jobs in Seattle, WA

As a Staff Software Engineer, lead the architecture and operation of GPU-driven infrastructure, focusing on automation, reliability, and scalability while mentoring engineers and collaborating across teams.

Lead and mentor engineers to build, scale, and maintain logging, tracing, and metrics platforms across global datacenters. Improve monitoring, alerting, automate compute integrations, manage production clusters, and advise teams on observability best practices to ensure reliability and security.

Design, build, and maintain automated tooling to provision Kubernetes control planes on bare-metal; develop operators and tooling in Go, Python, and Bash; perform day‑2 lifecycle, upgrades, and troubleshooting; improve reliability with the Grafana ecosystem; implement automated tests; use Ansible and CI; and participate in a bi‑monthly on‑call rotation.

Design and build end-to-end, frontend-led analysis workflows and visualizations for experiment data. Implement UX, APIs, data models, logging formats, and performance/scalability improvements while collaborating with product, design, and customer teams.

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

As a Firmware Engineer, you will develop and maintain firmware for embedded systems, test and validate firmware, collaborate with cross-functional teams, and document technical details.

Seeking an experienced Hardware Engineer to design, develop, and optimize server hardware and liquid cooling infrastructure, collaborating with cross-functional teams and vendors.

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.

Manage the Hardware Engineering team, oversee project planning, improve processes, and support hardware/software efforts, while fostering talent and collaboration.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.