Data Automation Software Engineer, Member of Technical Staff

QuantumScape Corporation•San Jose, CA

29d•Onsite

About The Position

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. What we Need: QuantumScape is seeking a skilled and driven Software Engineer to support the full development lifecycle of our Manufacturing Execution System (MES). This role is critical to enabling scalable, reliable, and efficient manufacturing operations through robust software solutions. The ideal candidate will work closely with process owners, engineering teams, and stakeholders to translate operational needs into functional MES capabilities, ensuring seamless integration, testing, deployment, and ongoing support.

Requirements

Bachelor’s & 5+ years of experience or master’s degree & 3+ years of experience with a degree focused in Computer Science, Software Engineering, or a related field.
3+ years of experience in software development, preferably in manufacturing or industrial automation environments.
Proficiency in Python or similar scripting languages for automation and event-driven logic.
Experience with SQL for data manipulation and reporting.
Experience with responsive web UI frameworks and component-based design.
Familiarity with statistical analysis tools and methodologies for process control.
Ability to design and implement traceability and workflow systems for complex operations.
Knowledge of performance monitoring techniques and KPI visualization.
Hands-on experience with RESTful web services, including authentication, headers, and JSON/XML payloads.
Hands-on experience with DevOps practices: CI/CD pipelines for automated build, test, and deployment. Version control systems (e.g., Git) and infrastructure-as-code tools. Monitoring, logging, and incident response in production environments.
Excellent problem-solving skills and attention to detail in high-precision environments.
Strong communication and documentation abilities for cross-functional collaboration.
Demonstrated ability to lead or support organizational change initiatives, including: Stakeholder alignment and communication planning. Training and adoption strategies for new digital tools or workflows. Risk mitigation and feedback integration during rollout phases.

Nice To Haves

Background in manufacturing, industrial automation, or process engineering.
Experience with real-time data acquisition and integration from industrial equipment and control systems.
Familiarity with core manufacturing system components, including: Traceability and Genealogy: Designing systems to track material flow and product history across production stages. Statistical Process Monitoring: Implementing control charts and analytics for process stability and quality assurance. Work Order Management: Configuring and managing digital workflows for production execution and scheduling. Recipe and Parameter Control: Developing systems to manage process parameters, formulations, and operational instructions.
Understanding of operational efficiency metrics and continuous improvement frameworks.
Ability to translate complex manufacturing requirements into scalable, software-driven solutions.

Responsibilities

Requirements Gathering & Stakeholder Engagement: Collaborate with process owners, manufacturing engineers, and cross-functional stakeholders to define functional and technical requirements for the related MES solutions.
System Design & Development: Architect, develop, and configure MES applications to meet defined specifications, following the specified development standards while ensuring scalability, maintainability, and alignment with manufacturing workflows.
Testing & Validation: Design and execute comprehensive test scripts to validate system functionality, performance, and reliability. Conduct pilot testing in controlled environments to ensure readiness for production deployment.
Deployment & Production Migration: Lead the migration of MES solutions from development to production environments, ensuring minimal disruption and full operational readiness.
Production Support & Troubleshooting: Provide ongoing support for MES applications post-deployment, including issue resolution, performance monitoring, and user training as needed.
Continuous Improvement & Enhancements: Identify opportunities for system enhancements and implement iterative improvements based on user feedback, evolving requirements, and operational insights.
Cross-Functional Collaboration: Work closely with IT, Manufacturing, R&D, and Automation teams to ensure MES solutions are integrated seamlessly with other enterprise systems and data platforms.