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Tesla Manufacturing Engineer Traction Inverter Power Electronics Joining United States, Texas, Austin 683665859
16.04.2025
What You’ll Do What You’ll Bring
- Design and develop advanced manufacturing equipment and processes that integrate precision equipment, optimized process conditions, and advanced materials for scalable, high-quality production
- Analyze and solve material characterization and mechanical testing challenges, with a focus on high-reliability thermal-mechanical joints
- Ensure manufacturability by collaborating with design engineers to apply Design for Manufacturability (DFM) and Design for Assembly (DFA) principles to new product designs
- Work with suppliers and integrators to design, manufacture, and install equipment for medium- to high-volume production
- Implement manufacturing techniques, including joining methods such as fastening, welding, brazing, soldering, and adhesive bonding, along with quality assurance methods like vision inspection, leak testing, and electrical testing
- Deploy and scale manufacturing processes and equipment for high-volume production, including tool qualification, process documentation, and operator training
- Drive continuous improvement by ramping processes to meet high-volume production targets, ensuring efficiency in cycle time, availability, yield, quality, and reliability
- 3+ years of experience as a Manufacturing Engineer, with a track record of developing and optimizing complex assembly processes in high-volume automated production environments
- In-depth knowledge of joining techniques, including metal-ceramic joining, diffusion bonding, brazing, welding, and sintering, with understanding of material-process-equipment interactions
- Experience creating technical specifications for automated manufacturing equipment and applying Design for Manufacturability (DFM) and Automation (DFA) principles
- Proficiency in CAD tools, including AutoCAD, SolidWorks, or CATIA for designing mechanical equipment, fixturing, and tooling
- Strong understanding of lean and six sigma principles, with experience using tools like DMAIC, RCA, DOE, FMEA, PCA, SPC, and Kaizen
- Ability to collect, analyze, and interpret complex data using tools like MySQL, Python, R, JMP, or Tableau to inform decisions
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