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Quality Engineer

Job in San Leandro, Alameda County, California, 94579, USA
Listing for: SirenOpt, Inc.
Full Time position
Listed on 2026-10-04
Job specializations:
  • Quality Assurance - QA/QC
    Quality Engineering
  • Engineering
    Quality Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Siren Opt helps manufacturers make better, safer, and more reliable micro- and nano-materials. These materials are the building blocks of critical sectors of the global economy such as batteries, computer chips, aircraft components, and power systems. But, surging material demand and growing complexity are pushing production to unprecedented scales and speeds, leaving manufacturers effectively flying blind. Small, undetected variations during production lead to wastage, lower performance, higher costs, and safety risks.

Siren Opt is changing this by developing a manufacturing intelligence platform that non-destructively probes materials during production, revealing critical internal information without damaging them. Using a novel combination of cold atmospheric plasma, physics-informed machine learning, and predictive analytics, Siren Opt generates unique, real-time material fingerprints that capture material signals not accessible through conventional measurement techniques. These insights give manufacturers unprecedented visibility into how materials behave as they are made.

We turn hidden data into actionable intelligence to help manufacturers reduce variability and thus increase yield and performance. The technology can be deployed as a standalone tool or integrated directly into factory production lines. Siren Opt is currently deploying early versions of its platform with some of the largest industrial manufacturers in the world across North America, Europe, and Asia.

About the job

Job Title:

Staff Quality Engineer

Job Type:

Full-Time

Role Overview

Siren Opt 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 Siren Opt'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 Siren Opt'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

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