Drive improvements in first-pass yield, bring-up cycle time, and field reliability using data-driven analysis and structured problem-solving methods. Deep hands-on experience with complex electro-mechanical systems (electrical, pneumatics, gas systems, cooling, motion, optics, controls).
Numbers & Facts
Location
Fremont, CA
Description
???????Qualifications:
Bachelor's degree in Mechanical Engineering, Electrical Engineering, or related field
8+ years of experience in test engineering, manufacturing engineering, or systems validation
Deep hands-on experience with complex electro-mechanical systems (electrical, pneumatics, gas systems, cooling, motion, optics, controls)
Experience with controls and computing (firmware, PLC/controller interfaces, IP/Modbus networking, Linux/Windows, Shell, Python)
Experience developing and executing test procedures from subsystem through final qualification
Experience specifying, building, and validating test equipment and fixtures with gage capability and calibration requirements
Clear communicator who makes decisions from data and maintains rigor under schedule pressure
Strong troubleshooting skills using structured root cause methods (8D, 5-Why)
Experience tracking equipment reliability (MTBF, MTTR) and using SPC and MSA
Additive manufacturing or laser systems experience preferred
New Product Introduction (NPI) experience preferred
Aerospace or ISO quality system experience (AS9100, ISO 9001) preferred
Responsibilities:
Author, revise, and release bring-up (Level 600) and system validation (Level 700) test procedures through engineering change control and set acceptance limits
Own Level 800 final qualification and release sign-off, direct technician support, and confirm printers complete system validation before delivery
Specify, build, and validate test stations, fixtures, and instrumentation including firmware, PLC interfaces, and networking systems
Serve as technical escalation point for Test Technicians executing procedures on electrical, pneumatic, cooling, motion, laser optics, and control systems
Drive improvements in first-pass yield, bring-up cycle time, and field reliability using data-driven analysis and structured problem-solving methods