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

Location: San Leandro, California, United States Department: Software / Infrastructure / Machine Learning

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,