
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 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.
SirenOpt is changing this. Our manufacturing intelligence platform scans materials, revealing critical internal information without damaging them. Using a novel combination of cold atmospheric plasma, physics-informed machine learning, and predictive analytics, SirenOpt creates unique, real-time fingerprints that capture material signals no other method can access. 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. SirenOpt is currently deploying early versions of its platform with some of the largest industrial manufacturers in the world across North America, Europe, and Asia. Our first commercial product will be released in 2026.
Job Description We are seeking a Senior Systems Engineer to help develop, test, and validate SirenOpt’s plasma-based sensing platform for integration into advanced manufacturing environments. As an early-stage member of the SirenOpt team, you will have the opportunity to make a direct impact on next-generation material characterization technologies while helping build a strong technical foundation for a growing company.
The ideal candidate learns new concepts quickly and produces high-quality technical work with strong attention to documentation. You will apply sound engineering judgment to solve a wide range of technical challenges efficiently and creatively, often spanning multiple disciplines. A core part of this role is planning and executing experiments, analyzing results, and maintaining thorough documentation. Some problems may fall outside your core areas of expertise, making technical curiosity, hands-on experimentation, and a self-starting mindset critical for success.
This role offers an exciting opportunity to work with cutting-edge systems in a collaborative and dynamic environment. If you are a driven and skilled engineer who enjoys hands-on system development, disciplined experimentation, and data-driven problem solving, we encourage you to apply.
In this role you will:
You have:
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Base Pay Range: $110,000 USD - $140,000 USD
Benefits