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Senior Hardware Systems Engineer

United States, Washington, Redmond💼 Full-time🗓 2026-07-14 → 2026-07-20

Core

Architecting and developing efficient test and debug frameworks for cutting-edge hardware solutions (CPU/GPU) to confirm cloud-grade quality and resolve complex failures in lab and data center environments.

Role type

Senior Hardware Systems Engineer

Builds

Test and debug automation, validation frameworks, and tooling for server subsystems and rack devices.

Domain

Cloud infrastructure hardware, server validation, and data center operations.

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Python/PowerShell automation, hardware/firmware/OS interface understanding, CPU/GPU architecture knowledge, PCIe/memory subsystem expertise, logic analyzer/oscilloscope usage, root cause analysis, data analytics and dashboarding.

Preferred skills

AI capabilities integration, DevOps practices, cross-boundary triaging, process improvement methodologies.

Technologies

Python, PowerShell, Logic Analyzers, Oscilloscopes, PCIe analyzers, Azure DC environment.

Responsibilities

Architect and develop test/debug frameworks for state-of-the-art HW solutions; plan, design, and execute system validation plans; drive debug for complex failures in lab and Azure DC environments; identify, triage, and resolve server subsystem faults; develop automation and tooling for server validation; handle on-call responsibilities for resolving customer issues in production.

Seniority

Senior, hands-on IC

Rewrite
## About the role Responsibilities will include architecting and developing efficient test and debug frameworks for cutting edge technologies, building test and debug automation, partnering with leading technology providers to define test and debug strategies, driving unified and efficient test, validation and debug methodologies across product segments. Plan, design and execute system validation plans, test frameworks for state-of-the-art HW solutions based on CPU/GPU applications to confirm design meets cloud grade quality. Drive debug for complex failures in lab and Azure DC environment. Drive continuous improvement to achieve unified and standard testing, validation and debug methodology - adopt automation, AI capabilities to drive efficiency and enhance test coverage. Work with OEMs/ODMs and other system engineers to run system validation, SKU qualification, scale testing, and system debugging. Validation and debug work with test engineers in the laboratory. Identify, triage and resolve server subsystem faults; drive end-to-end root cause with cross team partners and implement fixes. Work with stakeholders on process improvement, data quality improvement, and cross-boundary triaging. Develop automation and tooling for server validation in collaboration with other teams. Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Handle a DevOps role with occasional on-call responsibilities for resolving customer issues in production. ## Requirements - Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience - OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience - OR equivalent experience - 5+ years of experience in programing languages such as Python/PowerShell or similar for automation development or integration - Understanding of hardware, firmware, and OS interfaces and interdependencies, different CPU and GPU architecture and system design concepts - Familiar with different technology areas including but not limited to PCIe, memory subsystems, networking, power management, rack device management, remote device management - Experienced in defining custom HW tools for either validation or debug - Troubleshooting and debugging skills - Experience in debug and measurement tools such as Logic Analyzers, Oscilloscopes, PCIe analyzers - Experience in evaluating hardware designs, HW/FW/OS interactions, platform config trade-offs, and E2E error flows is required - Experience with data analytics, data collection/aggregation, and dashboarding ## What we offer *(No content provided in the original text)* ## About us *(No content provided in the original text)*
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