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
SirenOpt is seeking a Metrology Applications Engineer to join our Customer Solutions Engineering team. This role combines hands on technical work in SirenOpt's labs and at customer sites with direct, face to face engagement with customer engineering and operations teams. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- B.S. or M.S. in materials science, chemical engineering, chemistry, physics, or a closely related technical discipline, or a Ph.D. in a relevant field
- For B.S./M.S. candidates: 1-2 years of industry experience in manufacturing, metrology, materials characterization, and/or materials development (coatings or precursor materials experience is a plus)
- For Ph.D. candidates: research or industry experience directly related to materials characterization, materials fabrication or coating, or advanced manufacturing
- Experience working with hardware and software in an industrial or manufacturing context (e.g., lab instrumentation, in line sensors, analytics tools)
- Familiarity with data analysis, unsupervised/supervised ML, and statistical process concepts (e.g., SPC, Gauge R&R, basic modeling, trend analysis) and comfort using tools like JMP, Matlab, and/or Python
- Strong interpersonal skills and confidence interacting face to face with customers, including on shop floors, in labs, and in conference rooms
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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