Top Tech Jobs & Startup Jobs in Seattle, WA

The Partner Solutions Architect will manage technical relationships with partners, design solutions, assist in deployments, and gather feedback to influence product roadmap.

Manage end-to-end local IT hardware purchases across Europe and the USA, maintain and grow supplier relationships, coordinate cross-functional teams (IT/engineering, finance, logistics), and create dashboards and reports to ensure timely delivery and task completion.

The role involves designing and building internal web applications for Nebius, focusing on automating data center operations and developing user interfaces for infrastructure management.

Serve as embedded IT risk partner for engineering and technology teams, owning IT SOX readiness, control design, testing coordination, remediation oversight and auditor liaison. Assess ITGCs and application controls across cloud, DevOps, CI/CD, IAM and Kubernetes environments. Drive control automation, continuous monitoring, evidence quality, and translate technical risks into practical guidance for engineers, Finance, and external auditors.

Lead multidisciplinary technical due diligence for powered land and build-to-suit AI infrastructure across the Americas. Define and manage scopes, procure and oversee consultants, interpret technical studies (geotechnical, environmental, utilities, network), quantify risks, recommend mitigations, and present findings to support acquisition and development decisions. Build repeatable standards, playbooks, and consultant networks.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

Work onsite in New York with enterprise customers to design, prototype, and deploy production-grade AI systems using Tavily's API. Build RAG pipelines, agent workflows, integrations, and POCs; drive adoption, monitor usage, and translate customer needs into product and engineering roadmap inputs.

Embedded with strategic customers, own end-to-end design, build, and production rollout of cloud infrastructure for large-scale GPU/HPC AI workloads. Build compute orchestration, platform services, onboarding sandboxes, and reliability/security tooling. Turn field learnings into reusable platform capabilities and partner with Product and Engineering to productize them.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.