Top Hardware Engineer Jobs in Seattle, WA

Seeking a Hardware Test Engineer with a BS, MS, or PhD in Electrical Engineering and 15+ years of relevant experience, strong in design, and technical problem solving.

The Hardware Test Engineer will focus on hardware testing methodologies, computer performance metrics, driver troubleshooting, and data center architecture.

Debug and resolve complex hardware/software issues for manufacturing test stations. Lead commissioning and release-to-manufacturing of opto-electrical test stations, improve test uptime, provide documentation and support to contract manufacturers and vendors, coordinate equipment RFQs/RMAs, and use AI tools for data analysis.

Lead on-site technical authority for datacenter hardware reliability and fleet health. Troubleshoot complex hardware failures, drive root cause analysis and corrective actions, coordinate with vendors and cloud providers, establish maintenance standards and runbooks, support new hardware introductions and spare parts strategy, mentor technicians, and analyze failure trends to improve reliability across large-scale GPU and server deployments.

The Hardware Test Engineer will design and automate test systems, develop cross-functional solutions, handle test equipment, and manage projects related to battery and power systems for Starlink.

As a Hardware Test Engineer on Starlink, you will develop and deploy advanced test systems for satellite hardware, ensuring functionality and reliability in space environments.

The Hardware Test Automation Engineer designs and automates testing systems for satellite technologies, improving capabilities and safety while collaborating with teams.

Design and implement a novel AI inference engine through hardware-software co-design. Collaborate with ML, software, and cloud engineers; model PPA trade-offs; contribute to RTL design, simulation, verification, and roadmap planning to optimize inference for modern LLM workloads.

Design and own an automated hardware test rig integrated with CI/CD to build, flash, run, and report tests for a wearable AI device. Implement connectivity and throughput stress tests, long-duration audio and battery/thermal characterization, API-level tests, dashboards with regression flags, diagnostic tooling, and automation-driven bug triage. Establish nightly and weekly runs and partner with firmware to define automated vs. manual coverage.