
SirenOpt is a manufacturing intelligence company pioneering a paradigm shift in advanced materials characterization by leveraging cold atmospheric plasma, machine learning, and predictive analytics to non-destructively create multifaceted material fingerprints in real-time. Their core product, PlasmaSens™, enables real-time, non-destructive, multi-property measurement of materials across various manufacturing workflows such as wafer-to-wafer, piece-to-piece, sheet-to-sheet, and roll-to-roll processes. This technology addresses measurement blind spots, accelerating R&D, process optimization, and enhancing product performance and production quality in industries including battery, aerospace, semiconductor, electronics, and more. SirenOpt originated as a spin-out from UC Berkeley and has gained traction through early adoption by Bay Area battery startups, participation in Berkeley SkyDeck Accelerator, and a $6.6M seed funding round in 2024. Their technology expertise includes low-energy plasma control and physics-informed machine learning for advanced process and equipment control, positioning them as a leader in sustainable, smart manufacturing of advanced materials.

SirenOpt is a manufacturing intelligence company pioneering a paradigm shift in advanced materials characterization by leveraging cold atmospheric plasma, machine learning, and predictive analytics to non-destructively create multifaceted material fingerprints in real-time. Their core product, PlasmaSens™, enables real-time, non-destructive, multi-property measurement of materials across various manufacturing workflows such as wafer-to-wafer, piece-to-piece, sheet-to-sheet, and roll-to-roll processes. This technology addresses measurement blind spots, accelerating R&D, process optimization, and enhancing product performance and production quality in industries including battery, aerospace, semiconductor, electronics, and more. SirenOpt originated as a spin-out from UC Berkeley and has gained traction through early adoption by Bay Area battery startups, participation in Berkeley SkyDeck Accelerator, and a $6.6M seed funding round in 2024. Their technology expertise includes low-energy plasma control and physics-informed machine learning for advanced process and equipment control, positioning them as a leader in sustainable, smart manufacturing of advanced materials.
What they do: Real-time, non-destructive materials characterization using cold atmospheric plasma + ML
Flagship product: PlasmaSens
Founded / origin: 2022 spin-out from UC Berkeley Chemical Engineering
Notable funding: $6.6M seed (Jul 2024) with additional strategic investment activity
Headquarters: Oakland, California
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Inline and offline materials characterization and manufacturing intelligence for advanced materials used in semiconductors, batteries, electronics, and aerospace.
2022
Renewable Energy Semiconductor Manufacturing
6600000
Announced seed round with participation from multiple VC and strategic investors.
2400000
Listed as a grant in some records.
Company announced a strategic investment to accelerate commercialization.
“Access Industries; Berkeley SkyDeck Fund; California Energy Commission; Climate Capital; Climate Club; Courtyard Ventures; Hitachi Ventures; Impact Science Ventures; InMotion Ventures; Union Labs Ventures; Visionaries Tomorrow; Voyager Ventures; Wireframe Ventures”
About SirenOpt SirenOpt® provides metrology and manufacturing intelligence solutions that accelerate sustainable and smart manufacturing of advanced coatings, thin films and nano-scale materials, with demonstrated use cases across battery, semiconductor, aerospace, electronics and many other industries. Micro- or nano-scale materials enable many high-growth industries, including lithium, sodium and solid-state batteries, solar cells, carbon sequestration and conversion technologies, optical devices, quantum devices, displays, adhesives, medical implants, semiconductors, packaging materials, and many others.
SirenOpt is pioneering a paradigm shift in advanced materials characterization by leveraging cold atmospheric plasma, machine learning and predictive analytics to non-destructively create uniquely distinctive, multifaceted material fingerprints in real-time. SirenOpt transforms current measurement blind spots into rich multi-layered material insights, which enable intelligent performance-centric decision-making. SirenOpt thus accelerates R&D and process optimization, enhances product performance, and delivers higher production quality to maximize value in both standalone (benchtop) and integrated (in-line) applications.
Job Description We are seeking a highly skilled Staff Electrical Engineer. As an early-stage member of the SirenOpt team, you will be able to make a real impact on next-generation technologies. The ideal candidate will learn new concepts quickly and take pride in the quality of their work. We expect that you will solve a wide range of technical challenges efficiently and creatively. Some of these problems may lie outside your core areas of expertise, so technical curiosity and a self-starting attitude are critical for success.
This role offers an exciting opportunity to be at the forefront of technological innovation, working with cutting-edge systems in a collaborative and dynamic environment. If you are a driven and skilled engineer looking to make a significant impact on advanced material science industry, we encourage you to apply.
In this role you will:
You have:
Nice to have:
Base Pay Range: $160,000 USD - $180,000 USD
Benefits