Supplier Industrialization Engineer
$73,700–$125,400 year
On-siteSan Carlos, California, United States or Marina, California, United States
Job Summary
Lead supplier industrialization across a broad commodity portfolio, managing end-to-end manufacturing process development from qualification through high-rate production ramp. Drive New Product Introduction at supplier sites by optimizing tooling, equipment, and workflows for yield and cycle time while influencing design cycles through material selection and tolerance feedback. Execute First Article Inspection and lead deep-dive investigations into material failures, delivering robust 8D corrective actions that prevent future escapes. Serve as the technical liaison between Design, Quality, and Manufacturing teams to align on supplier metrics, while guiding international partners through process audits and documentation training.
Required Qualifications
- Bachelor of Science in Mechanical, Materials, Aerospace, Manufacturing, or Electrical Engineering — or equivalent evidence of exceptional ability.
- 2+ years of experience in industrial, manufacturing, process engineering, and/or supplier quality engineering.
- Demonstrated depth in at least one manufacturing discipline — specific commodity experience (e.g., Advanced Composites, Precision Machining, Electronics/PCBA, Plastics/Polymers, or Special Processes).
- Demonstrated ability to manage urgent supplier issues and make real-time technical decisions on-site at a supplier's facility.
- Strong verbal and written communication skills; ability to work across functions and levels.
- Ability to travel up to 50% domestically and internationally; valid passport or ability to obtain one.
Desired Qualifications
- Experience managing Special Processes under Nadcap or equivalent rigorous accreditation.
- Knowledge of Lean Manufacturing principles (Six Sigma, Kaizen, 5S) applied to supplier production lines.
- Proficiency in CAD (CATIA, NX, or SolidWorks) for design review and tooling assessments.
- Experience with automated manufacturing (robotics, AFP, or automated kitting).
- Familiarity with IPC-A-610, IPC-CC-830, J-STD-001 for electronics commodities.
- Understanding of GD&T, statistical process control (SPC), and process capability analysis (Cpk/Ppk).
- Design of Experiments (DOE): Hands-on experience designing, executing, and analyzing structured DOEs (full factorial, fractional factorial, Response Surface Methods) to qualify new manufacturing processes, optimize process parameters, and improve yield at supplier facilities. Ability to identify key input variables (KIVs) and critical output variables (KOVs), quantify factor interactions, and translate DOE findings into robust control plans and process specifications.
- Familiarity with Minitab, JMP, or equivalent statistical software.
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