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Failure Analysis Engineer, Electromechanical Hardware
Job in
Redmond, King County, Washington, 98052, USA
Listed on 2026-10-19
Listing for:
Meta
Full Time
position Listed on 2026-10-19
Job specializations:
-
Engineering
Quality Engineering, Electronics Engineer -
Quality Assurance - QA/QC
Quality Engineering, Electronics Engineer
Job Description & How to Apply Below
As we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across robotics hardware, system software, machine perception, and artificial intelligence. You'll tackle open problems in robotics and AI, with the opportunity to shape new ways people connect around the world.
We build complex electromechanical hardware, and the parts that move are the highest-risk elements of any program. This role owns failure analysis for hardware that fails design-verification, qualification, and production testing — from first symptom through root cause to a documented, transferable corrective action. You will work in the lab with hardware in your hands, in the data with logs and telemetry, and across electrical engineering, firmware, mechanical engineering, and quality teams to close the loop on defects before they reach a product.
Scope spans actuators and drive systems, precision mechanisms, sensors, and the electronics and firmware that control them.
Failure Analysis Engineer, Electromechanical Hardware Responsibilities:
Own end-to-end FA for units failing fixture, DVE, and qualification testing: intake, symptom capture, hypothesis-driven teardown, root cause, disposition, and corrective-action follow-through
Build and maintain a failure-mode taxonomy for the hardware in scope and classify incoming failures against it, so root causes transfer between units instead of being re-derived every time Diagnose by signature, not by guesswork — isolate the failing domain (mechanical, electrical, firmware, thermal, process) using periodicity, load-vs-position behavior, electrical waveforms, calibration and configuration data, and environmental correlation
Write and maintain analysis tooling (Python) that parses test-station reports and time-series logs to classify failure modes automatically at fleet/population scale
Run fleet-level correlation studies to accept or refute candidate root causes, and document refuted leads as clearly as confirmed ones Drive nonconformance (NC) and CAPA workflows: file, triage, and close NCspresent findings at CCB / design reviewfeed pass-fail criteria improvements back into the test stations
Partner with design ME/EE/FW on containment and permanent fixes, and with suppliers on incoming quality and process escapes
Perform and interpret physical FA: precision teardown, dimensional/metrology inspection, wear and fracture surface inspection, optical/microscopy, and — where available — CT, SEM/EDX, and cross-sectioning
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience5+ years of hands-on failure analysis, reliability, or test engineering on electromechanical hardware (motors and drives, gearboxes, precision mechanisms, consumer devices, instrumentation, or similar)
Demonstrated root-cause methodology: 5-Why, fishbone, fault-tree, DOE, or equivalent, applied to real hardware failures you can talk through in detail
Hands-on lab competence: DMM, oscilloscope, power supplies, load/test fixtures, DAQExperience writing technical FA reports that enable design engineers to act on findings without additional clarification — FA reports that a design engineer can act on without a meeting
Preferred Qualifications:
Familiarity with motor control and firmware concepts: commutation, field-oriented control, current limits, calibration tables, and encoder error sources
Working knowledge of BLDC/PMSM motors,…
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