You will develop and maintain real-time data pipelines for a sensing platform using C++ and Python on Linux systems. This role involves hands-on testing with hardware in the lab and collaborating with firmware and hardware engineers to ship production software.
Requirements overview
Candidates should have a Bachelor's or Master's degree in a technical field and 0-2 years of software development experience. A strong foundation in C++, Python, and computer science fundamentals is required, along with the ability to work with Linux-based systems and hardware.
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 materials non-destructively and in real time. PlasmaSens reveals critical surface and internal characteristics that conventional methods miss, creating a distinctive fingerprint for every material. Manufacturers use these fingerprints to detect variability earlier, improve process control, and increase yield and performance.
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 to 3D components. That flexibility lets us meet manufacturers where they are and carry insight from the lab into mass production.
We have already deployed multiple PlasmaSens products with customers and collaborators across the United States, Japan, Germany, and Taiwan.
For employment opportunities please visit our careers page: https://www.sirenopt.com/careers
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 by developing a manufacturing intelligence platform that non-destructively probes materials during production, revealing critical internal information without damaging them. Using a novel combination of cold atmospheric plasma, physics-informed machine learning, and predictive analytics, SirenOpt generates unique, real-time material fingerprints that capture material signals not accessible through conventional measurement techniques. 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.
About the job
Job Title: Software Engineer (Early Career) – C++ & Systems
Location: On-Site (San Leandro, CA)
Job Type: Full-Time
Role Overview
SirenOpt is seeking a Software Engineer to help build and maintain the real-time data pipeline behind our sensing platform: acquiring data from multiple sensors, processing and storing it on Linux-based systems, and delivering it to the applications our customers rely on.
You will work primarily in modern C++ and Python, with mentorship from senior engineers, and you will be hands-on with real hardware in our lab to test and validate what you build. This is a role for someone who wants to grow into a well-rounded systems engineer by shipping production software end to end, from a first design discussion to a feature running at a customer site.
What You'll Do
Develop and maintain software components in modern C++ (C++17/20) for Linux-based systems, with guidance from senior engineers
Implement features, fix bugs, and write unit and integration tests across the data pipeline, from sensor acquisition through processing and storage to the services that deliver results to applications
Write and maintain Python scripts for automation, testing, and data analysis
Read, and where needed modify, existing code written in other languages across our codebase
Use AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate development, and verify their output through testing, profiling, and code review
Run the system on real hardware in the lab to test and validate your changes, including setting up sensors and collecting data
Participate in code reviews, both receiving and giving feedback, and follow team conventions for code quality
Help diagnose and debug issues across software and hardware boundaries, working with firmware and hardware engineers
Measure and improve performance of existing code under the direction of senior engineers
Document your work so that others on the team can build on it
What We're Looking For
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (recent graduates welcome)
0–2 years of professional software development experience; internships, co-ops, research, and substantial personal or open-source projects count
Solid foundation in C++, including memory management, references and pointers, the standard library, and basic object-oriented and generic programming
Strong ability to read, understand, and write Python, including working within existing Python codebases used for automation, testing, and data analysis
Ability to pick up new programming languages quickly; our codebase spans several languages and you will need to read, and occasionally modify, code outside of C++ and Python
Understanding of core computer science fundamentals: data structures, algorithms, operating systems, and concurrency basics
Comfortable with the everyday toolchain: Linux command line, build tools (CMake or similar), a debugger, and Git-based workflows (branches, pull requests, code review)
Hands-on experience using AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor) as part of a real development workflow, and the judgment to review and test what they produce
Comfortable working hands-on with lab and test equipment: setting up sensors, running the system on real hardware, and collecting data for testing and validation (we will train you on our specific equipment)
Clear written and verbal communication, and the ability to work well with teammates across disciplines
Nice to have:
Experience with Qt, gRPC, or Protocol Buffers
Familiarity with CI/CD pipelines and automated testing
Experience with profiling and debugging tools such as perf, Valgrind, GDB, or sanitizers
Familiarity with hardware communication interfaces such as Ethernet, USB, or Serial
Contributions to open-source projects
What You'll Learn
You will work on a real-time sensing platform that is already running at some of the largest manufacturers in the world, on a small team where your code reaches customers quickly.
How a high-throughput, multi-sensor data pipeline is built end to end, from acquisition through processing and storage, and kept reliable in production
Modern C++ and Linux systems engineering, with regular code review and mentorship from senior engineers
How software, firmware, and hardware teams work together to ship a physical product
How to use AI coding tools effectively and responsibly in a professional engineering workflow
A clear path to grow into a mid-level engineer with ownership of your own components
Base Pay Range
$120,000—$160,000 USD
Benefits
Equity and Salary compensation depends on experience
Health, Dental, Vision plans provided
401k matching provided
Time off: 20 days of PTO per year, plus approximately 15 paid US holidays per year