Manufacturing Engineer, Process Development, Module Energy Products
Job Category Manufacturing
Location Sparks, Nevada
Req. ID 216175
Job Type Full-time
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What to Expect
As a Tesla Manufacturing Engineer, you have the important role of designing "The Machine that builds the Machine. You will work with the cross-functional teams (Design, Quality, Production, Sustaining, and Supply Chain) throughout the entire lifecycle of a product (from initial design through prototype development and into full production) to develop high quality and efficient manufacturing equipment and processes that will produce the power electronics that drive our cars and energy products.
What You'll Do
Conduct exploratory studies and analysis to identify assembly processes to meet product requirements
Identify critical process parameters and quality attributes, and conduct experiments using Design of Experiments (DOE) methods to determine sensitivity and acceptable process windows
Develop cause and effect analysis, Process Failure Mode Effects Analysis (PFMEA) and control plan
Troubleshoot and Identify corrective measures to critical equipment (mechanical, electrical, thermal, optical etc.) related problems
Conduct Install/qualification of tools including Measurement Systems Analysis (MCA), Gauge Repeatability and Reproducibility (GRR), Process Stability and Capability (CP/CPK), and equipment/process matching
Enable Statistical Process Control (SPC), and create standard operation and maintenance procedures to support the transition to sustainable production
Execute data driven root cause analysis as part of reject validation and excursion investigations
What You'll Bring
2 years of experience developing and deploying assembly (e.g. fastening, dispense, pick and place, soldering, etc.) and/or test (e.g. electrical, optical inspection, etc.) processes through high-volume manufacturing
Experience developing and taking new automated manufacturing processes and equipment from the prototype stage through high volume production
Familiarity with, and interest in grappling with large data sets to drive decision making
Strong working knowledge of Statistical Analysis, Design of Experiments (DOE), Gauge Repeatability and Reproducibility (GRR), Failure Mode Effects Analysis (FMEA), Statistical Process Control (SPC) and other Six Sigma Tools
Clear understanding of manufacturing production metrics, field data, and quality and reliability data
Hands-on skills with diagnostics software, hardware, tools, instruments, general electromechanical systems and measurement techniques
Bachelor's Degree in Chemical, Material, Electrical, Industrial, Mechanical Engineering, or equivalent experience