Software Engineer (Early Career) – C++ & Systems

SirenOptSirenOptSan Leandro, California, United States
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Posted

10/15/2026

Employment

Full time

Range

$120k - $160k/year

Work style

On-site

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AI summary

Core responsibilities

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.

Key skills

C++PythonLinuxData pipelinesSystems engineeringHardware integrationGitCMakeDebuggingUnit testingIntegration testingConcurrencyData structuresAlgorithmsAI coding tools

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Education requirements

bachelor degreepostgraduate degree

About SirenOpt

Industry

Measuring and Control Instrument Manufacturing

Employees

39

Type

Privately Held

Size

11-50 employees

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

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Job categories

SoftwareEngineeringTechnologyManufacturingData & Analytics

Description

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

Requirements

  • •C++
  • •Python
  • •Linux
  • •Data pipelines
  • •Systems engineering
  • •Hardware integration
  • •Git
  • •CMake
  • •Debugging
  • •Unit testing
  • •Integration testing
  • •Concurrency
  • •Data structures
  • •Algorithms
  • •AI coding tools

Benefits

  • •Equity
  • •Health insurance
  • •Dental insurance
  • •Vision insurance
  • •401k matching
  • •Paid time off
  • •Paid holidays

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