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SirenOpt

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SirenOpt has 13 open roles, 1 posted in the last 30 days. Stated pay range: $120k – $240k a year.

Open roles

  • SirenOpt logo
    Staff Embedded Linux Software Engineer

    SirenOpt

    • San Leandro, CA
    • On-site · Staff / Lead
    • $180k–$240k
    Greenhouse
    Posted 28d ago
  • SirenOpt logo
    Software Engineer (Early Career) – C++ & Systems

    SirenOpt

    • San Leandro, CA
    • On-site · Junior
    • $120k–$160k
    Ships with GitHub Copilot
    Greenhouse
    Posted 30d ago
  • SirenOpt logo
    Senior Technical Sales Engineer

    SirenOpt

    • San Leandro, CA
    • Senior
    • $130k–$170k
    Greenhouse
    Posted 37d ago
  • SirenOpt logo
    Staff/Senior Mechanical Engineer

    SirenOpt

    • San Leandro, CA
    • On-site · Staff / Lead
    • $130k–$190k
    Greenhouse
    Posted 39d ago
  • SirenOpt logo
    Senior/Staff Software Engineer - C++

    SirenOpt

    • San Leandro, CA
    • On-site · Staff / Lead
    • $160k–$240k
    Greenhouse
    Posted 43d ago
  • SirenOpt logo
    Senior/Staff Scientist - Algorithms & Data Products

    SirenOpt

    • San Leandro, CA
    • On-site · Staff / Lead
    • $140k–$190k
    AI-native
    Greenhouse
    Posted 43d ago
Show all roles

About

SirenOpt logo

SirenOpt

Manufacture better materials, faster.

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. PlasmaSens combines cold atmospheric plasma with physics-informed machine learning to analyze

Private company
Founded2022
HQSan Leandro, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
11–50 employees
IndustryMeasuring and Control Instrument Manufacturing

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