- Robot type
- Drone · Defense
- Location
- SeattleWashingtonUSA
- Job type
- Artificial Intelligence
- Posted
- Sep 2, 2026
- Salary
- $150,000–$230,000 a year
Full-time
Staff Engineer, Manufacturing Equipment
Job description
Shield AI — Staff Engineer, Manufacturing Equipment (Seattle, Washington).
Job responsibilities
- Own the technical lifecycle of production equipment, test racks, and test cells, from production readiness through sustainment and continuous improvement
- Lead troubleshooting and root-cause analysis of equipment failures, downtime events, and test anomalies; implement corrective and preventive actions
- Drive equipment reliability, availability, and maintainability (RAM) improvements to support production goals
- Develop and maintain equipment documentation including schematics, BOMs, calibration plans, maintenance procedures, and operating instructions
- Collaborate with Manufacturing, Test, and Quality teams to ensure equipment meets production, safety, and compliance requirements
- Support equipment upgrades, obsolescence management, and capacity expansion as production scales
- Define and execute equipment acceptance testing, validation, and handoff to production
- Mentor junior engineers and technicians and provide technical leadership across equipment-related efforts
Job requirements
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field
- 8+ years of experience supporting production equipment, test racks, or test cells in a manufacturing or test environment
- Strong hands-on experience with electromechanical systems, controls, instrumentation, and data acquisition
- Proven ability to troubleshoot complex equipment issues across hardware, software, and controls domains
- Experience developing and maintaining technical documentation for production equipment
- Ability to work effectively on the factory floor and in cross-functional engineering teams
- Experience supporting automated or semi-automated production and test equipment
- Familiarity with PLCs, HMIs, industrial networks, or test software (e.g., LabVIEW, Python, or similar)
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