Battery Manufacturing Quality Engineer (Data & Imaging), SMTS (CA, US, 95110)

Skip to main content View Profile CAREERS SIGN IN View Profile CAREERS SIGN IN View Profile CAREERS SIGN IN Search by Keyword Search by Location Show More Options Loading...   Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Title:  Battery Manufacturing Quality Engineer (Data & Imaging), SMTS Date:  Jul 23, 2026 Location:  CA, US, 95110 Work Location Type:  On-site Company:  QuantumScape Corporation Description:  QuantumScape 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 QuantumScape’s solid-state battery technology. We work closely with the Manufacturing, Reliability, and R&D, groups to identify failure modes, engineer critical-to-quality specifications, and implement robust control strategies across all process areas.   What we need: The Manufacturing Quality team is seeking a highly motivated engineer who is energized about improving the quality and reliability of our solid-state Li metal batteries. You will leverage a diverse set of data-driven and computational methodologies to detect critical defect modes on our cells and develop robust specifications to be implemented on the manufacturing line. The ideal candidate has a hard sciences background, battery or semiconductor industry experience, and the ability to communicate complex technical information to a diverse group of stakeholders. If you enjoy problem-solving and thrive in a highly collaborative, fast-paced environment, we'd like to hear from you.   What You’ll do:   Develop subject-matter expertise on battery components and collaborate cross-functionally on in-line metrology systems and imaging post-processing techniques. Develop computer vision detection algorithms and machine learning models, including building comprehensive labeling rulebooks, coordinating labelers, and maintain model performance as processes and chemistries change over time. Collaborate with R&D engineers through weekly in-person team meetings to generate new metrics or deep learning models that capture defect modes in 2D and 3D images. Leverage advanced statistical and machine learning techniques to uncover complex patterns in large datasets of battery and component-level electrical test outcomes. Build predictive models that identify key features in metrology and microscopy images of cells, separators, and cathodes to predict downstream electrical performance, and propose opportunities to tighten specifications to drive improved product reliability. Collaborate with cross-functional engineers to develop repeatable measurement processes for battery cells and components, where data is uploaded to the database and results serve as CTQs and specifications for process-quality...