About SirenOpt

At SirenOpt®, we are building the manufacturing intelligence layer for advanced materials. We help manufacturers visualize, understand, and control the material behavior that determines yield, performance, and safety across energy, aerospace, automotive, electronics, and semiconductor applications.

We are working on this problem because advanced materials are becoming more critical and more complex, but the tools used to manufacture them have not kept pace. Manufacturers still lack real-time visibility into the small variations that shape quality on the line. We care because those invisible variations cause scrap, waste energy and materials, create higher costs, inconsistent product performance, and introduce avoidable safety risks.

We developed PlasmaSens™, our manufacturing intelligence platform, to close that visibility gap and to lay the foundation for truly autonomous manufacturing.

We are uniquely suited to solve this problem because our expertise and our platform connect material science, plasma physics, machine learning, and manufacturing in one system. The same core technology works in-line, at-line, and off-line, and across form factors ranging from electrodes and wafers to 3D components. That flexibility lets us meet manufacturers where they are and carry insight from the lab into mass production.

We have deployed multiple PlasmaSens products with customers and collaborators across the United States, Japan, Germany, and Taiwan. We pair that real-world experience with support from leading US, European, and Japanese venture investors, the National Science Foundation, the California Energy Commission, and the Department of Energy. Our combination of differentiated technology, manufacturing experience, and global scientific and industry partnerships gives us the foundation to solve material variability at scale.

About the job

Job Title: Staff Quality Engineer

Location: On-Site (San Leandro, CA)

Job Type: Full-Time

Role Overview

SirenOpt is seeking a Staff Quality Engineer to establish and scale quality practices that support exceptional product quality across the organization. In this role, you will help ensure the reliability and performance of SirenOpt's products while building the processes needed for dependable product deployment and long-term operational excellence.

Working closely with engineering teams across every phase of product development, you will drive verification and validation testing, strengthen documentation practices, and analyze quality metrics to assess product and process performance. You will also define and evolve practical quality systems that bring rigor, traceability, and consistency as the company grows.

This position is well suited for a self-driven quality leader who has a clear vision for effective quality practices, is comfortable navigating complex technical products, and can bring structure to areas of ambiguity without slowing the pace of development. You will guide quality strategy from concept through commercial release, design and execute robust test approaches, and contribute at a high level in a collaborative, fast-moving engineering environment.

What You'll Do

Design, execute, and analyze quality tests across hardware, firmware, and software to ensure product performance, reliability, and conformance to requirements

Inform verification and validation strategy and execution for SirenOpt's standalone commercial tool, including system-level test planning, validation readiness, support for product release, process validation

Establish and implement foundational quality systems, including QMS processes, SOPs, work instructions, templates, and controlled documentation practices

Develop and maintain traceability between requirements, risks, test methods, test results, and product quality evidence

Support process validation activities for manufacturing, assembly, calibration, and test processes, including development of validation plans and acceptance criteria

Apply statistical methods to evaluate product and process performance, including test method effectiveness, repeatability, process capability, and variation analysis