SirenOpt is accelerating sustainable and smart manufacturing of advanced materials using intelligent characterization and real-time decision-making to drive the creation of innovative, high-performance products that fuel the advancement of society. Backed by Activate Venture Partners.
About the role
We are seeking a Staff Systems Engineer to define, integrate, and validate SirenOpt's plasma-based sensing platform for deployment into advanced manufacturing environments. As an early-stage member of the SirenOpt team, you will play a key role in shaping system-level behavior and ensuring technical coherence across hardware, software, and experimental domains, helping establish a strong and scalable technical foundation for the company. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- B.S. in Engineering or Physics with 5+ years of relevant industry experience, M.S. with 3+ years, or Ph.D. with 2+ years of hands-on systems experience
- Experience developing automated metrology, inspection, or diagnostic systems across system definition, integration, validation, deployment, and customer support
- Experience working in early-stage or ambiguous R&D environments, using experimentation and data analysis to evaluate concepts and guide system-level decisions
- Proficiency with tools such as Python, MATLAB, C, LabVIEW, or similar for data analysis, modeling, and evaluation of system performance
- Extensive hands-on experience developing, integrating, and validating prototypes, subsystems, and complete systems
- Experience working across mechanical, electrical, software, and experimental domains to resolve complex integration and performance issues
More about this role
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...
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