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SMTS, Manufacturing Quality Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: QuantumScape Battery, Inc.
Full Time position
Listed on 2026-10-23
Job specializations:
  • Engineering
    Process Engineer, Quality Engineering, Manufacturing Engineer, Materials Engineering
Salary/Wage Range or Industry Benchmark: 112500 - 163200 USD Yearly USD 112500.00 163200.00 YEAR
Job Description & How to Apply Below

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Title:

SMTS, Manufacturing Quality Engineer

Date:
Oct 20, 2026

Location:

CA, US, 95131

Work Location Type:
On-site

Description:

Quantum Scape is on a mission to transform energy storage with solid-state lithium-metal battery technology. The company’s next-generation batteries are designed to enable greater energy density, faster charging and enhanced safety to support the transition away from legacy energy sources toward a lower carbon future.

About the team:

Manufacturing Quality is a diverse group of engineers and data scientists who bring deep expertise in materials science, electrochemistry, statistics, and machine learning. Our team thrives on data-driven decision-making and a shared commitment to drive continuous improvement to Quantum Scape’s solid-state battery technology. We work closely with the Manufacturing, Reliability, and R&D, groups to identify failure modes, refine critical-to-quality specifications, and implement robust control strategies across all process areas.

What we need:

We are seeking a Senior Engineer who has built their career on the manufacturing floor — as a process, manufacturing, yield, or quality engineer — and who uses production data to reduce variation. In this role, you will connect upstream process and metrology data to downstream yield, electrical test, and reliability outcomes, turn those correlations into specifications and control strategies, and drive them into production with process owners across Quantum Scape’s cell and separator manufacturing lines.

This is neither a data science role nor a quality-systems role: the ideal candidate pairs hands-on process knowledge with rigorous, practical data analysis, is passionate about optimizing tools and processes, and values consistency and documentation. If this role sounds like a good fit, we’d like to hear from you.

What You’ll do:
  • Drive process variation down using production data: decompose variation by source (tool-to-tool, lot-to-lot, material and supplier, shift), quantify each contributor, and partner with process owners to eliminate the dominant ones, center and tighten process windows, and demonstrate sustained capability (Cpk) improvement.
  • Lead correlation projects that link upstream process parameters, material attributes, and in-line metrology to downstream yield, electrical test, and reliability outcomes; query and analyze the data with JMP or equivalent tools, and translate findings into concrete process, specification, and control changes on the manufacturing line.
  • Collaborate with process teams to identify yield improvement and defect reduction opportunities, confirm root cause through DOEs and engineering experiments, and lead improvement projects with process owners from problem definition to closure.
  • Develop subject-matter expertise on battery components and process steps; partner with process, equipment, and R&D engineers to define critical-to-quality (CTQ) characteristics and set specification limits grounded in process capability and product performance data.
  • Collaborate cross-functionally to establish repeatable measurement processes for cells and components, validated through MSA/Gage R&R, with results captured in the database and used as CTQs and specifications for process-quality tracking.
Skills You’ll Need:
  • Bachelor’s degree in Engineering (Chemical, Mechanical, Materials Science, Electrical, Metallurgy, Industrial, or related discipline) + 5 years of experience in a process, manufacturing, yield, or quality engineering role;
    Master’s degree + 3 years.
  • Hands-on experience as a process, manufacturing, yield, or quality engineer in a complex manufacturing environment (battery, semiconductor, display, data storage, or similar).
  • Demonstrated…
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