---
title: 'Software Engineer (Early Career) – C++ & Systems at SirenOpt'
canonical: 'https://feeny.ai/job/software-engineer-early-career-c-systems-sirenopt-san-leandro-9f5sr9deekkq'
type: 'job'
last_seen: '2026-10-18'
---

# Software Engineer (Early Career) – C++ & Systems at SirenOpt

- **Company:** SirenOpt
- **Location:** San Leandro, CA
- **Compensation:** $120k–$160k
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/sirenopt/jobs/4452002009

## Job 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

## About SirenOpt

## Company Overview
- **One-liner**: SirenOpt provides a non-destructive, real-time materials characterization platform that uses cold atmospheric plasma and AI to create detailed material fingerprints for manufacturing quality control.
- **Entity Type**: Private (Venture stage; total funding $21.5M)
- **Headquarters**: San Leandro, California, United States
- **Founded**: 2022
- **Founders**: Jared O’Leary (CEO), Ali Mesbah (CTO, UC Berkeley), Joel Paulson (co-founder, UW–Madison)

## Core Business
- **Primary Industry**: Manufacturing intelligence / advanced materials characterization (battery, semiconductor, aerospace, medical devices, packaging, electronics)
- **Target Customers**: B2B, Enterprise manufacturers with high-throughput production lines (roll-to-roll, piece-to-piece)
- **Mission**: “Create a paradigm shift in advanced materials characterization by leveraging cold atmospheric plasma, machine learning and predictive analytics to non-destructively create a uniquely distinctive, multifaceted material fingerprint in real-time.” [sirenopt.com](https://www.sirenopt.com/about)

## Products & Services
- **PlasmaSens™** – A modular, scalable platform for inline and offline material analysis. Uses cold atmospheric plasma to measure multiple material properties (e.g., cathodes, anodes, separators, coatings) non-destructively and in real time. Available as a benchtop standalone system, piece-to-piece (robot-arm mounted) for inline inspection, and roll-to-roll (up to 1.5m width) for continuous high-throughput monitoring. Delivers pass/fail feedback and enables predictive quality control. [sirenopt.com](https://www.sirenopt.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding **$21.5M** across five rounds (Pre-Seed $3.0M led by SkyDeck Berkeley, Seed $6.6M led by Visionaries Tomorrow and Voyager Ventures, Venture $6.5M led by Hitachi Ventures and InMotion Ventures, Grant $2.4M from California Energy Commission) [linkedin.com](https://www.linkedin.com/company/sirenopt) [cbinsights.com](https://www.cbinsights.com/company/sirenopt)
- **Notable Investors/Partners**: Voyager Ventures, Visionaries Tomorrow, Hitachi Ventures, InMotion Ventures, SkyDeck Berkeley, California Energy Commission (BRIDGE Grant), Lawrence Berkeley National Lab Cyclotron Road, Activate
- **Growth Signals**: 41 employees (59% technical), deploying with largest industrial manufacturers across North America, Europe, and Asia; first commercial product scheduled for 2026; announced deployment at ECF in Autumn 2026 [sirenopt.com](https://www.sirenopt.com/) [linkedin.com](https://www.linkedin.com/company/sirenopt)

## Competitive Advantages
- **Unique technology**: The only non-destructive measurement method using cold atmospheric plasma to generate a rich, multi-property material fingerprint in real time, without chemicals or sample preparation.
- **Speed**: From hours to seconds – quality decisions made at production speed, catching defects before they propagate.
- **Physics-informed AI**: Combines plasma signals with machine learning to detect hidden defects and predict failure modes, providing insights conventional testing cannot.
- **Flexibility**: Modular platform (benchtop, inline, roll-to-roll) adaptable to diverse substrate sizes and production environments.

## Strategic Focus
- **Commercialization**: Accelerating deployment of PlasmaSens into factory production lines, with a first commercial release in 2026 and an inline deployment at ECF that autumn.
- **Market expansion**: Targeting battery, semiconductor, aerospace, medical device, and packaging manufacturers globally.
- **Sustainability**: Enabling smarter manufacturing to reduce waste, improve yield, and accelerate development of advanced materials. [sirenopt.com](https://www.sirenopt.com/about)

## Why Work Here
- **Impact**: Join a deep-tech startup at the forefront of manufacturing intelligence, working on a “new to the world” metrology tool that transforms how materials are measured and controlled.
- **Engineering culture**: 59% of the team holds technical roles (specialist/senior level); the company values hands-on work in hardware, firmware, software, and AI.
- **Benefits**: Incentive stock options, comprehensive health coverage (medical, dental, vision), 20 days PTO, 15 paid company holidays, and 401(k) matching for qualified employees. [sirenopt.com](https://www.sirenopt.com/careers)
- **Location**: Based in San Leandro, CA (Bay Area). Office presence expected; remote/hybrid policy not explicitly stated.
- **Growth trajectory**: Early-stage (41 employees, $21.5M funding) with active hiring (5 open roles including Lead Software Engineer, Staff EE, Quality Manager) and strong backing from top-tier investors.

## Sources
1. [sirenopt.com](https://www.sirenopt.com/) – Product details, company overview
2. [sirenopt.com/about](https://www.sirenopt.com/about) – Mission, leadership, investors
3. [sirenopt.com/careers](https://www.sirenopt.com/careers) – Benefits, job openings
4. [linkedin.com/company/sirenopt](https://www.linkedin.com/company/sirenopt) – Employee count, funding rounds, department breakdown
5. [cbinsights.com/company/sirenopt](https://www.cbinsights.com/company/sirenopt) – Funding details, product differentiators

## Other roles at SirenOpt

- [Staff Embedded Linux Software Engineer](https://feeny.ai/job/staff-embedded-linux-software-engineer-sirenopt-san-leandro-1tppdmzfax32) — San Leandro, CA
- [Senior Technical Sales Engineer](https://feeny.ai/job/senior-technical-sales-engineer-sirenopt-san-leandro-s8972z8mbap1) — San Leandro, CA
- [Staff/Senior Mechanical Engineer](https://feeny.ai/job/staff-senior-mechanical-engineer-sirenopt-san-leandro-bd3kk0f6rywc) — San Leandro, CA
- [Senior/Staff Software Engineer - C++](https://feeny.ai/job/senior-staff-software-engineer-c-sirenopt-san-leandro-crz4qk56qpbe) — San Leandro, CA
- [Senior/Staff Scientist - Algorithms & Data Products](https://feeny.ai/job/senior-staff-scientist-algorithms-data-products-sirenopt-san-leandro-gvvg84y0z46z) — San Leandro, CA
- [Metrology Data Scientist](https://feeny.ai/job/metrology-data-scientist-sirenopt-san-leandro-1gc1vjkphztb) — San Leandro, CA
- [Staff Quality Engineer](https://feeny.ai/job/staff-quality-engineer-sirenopt-san-leandro-m9sd523ecqth) — San Leandro, CA
- [Sr. Account Manager](https://feeny.ai/job/sr-account-manager-sirenopt-san-leandro-9qbnr3f1knwz) — San Leandro, CA
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-sirenopt-san-leandro-pn0r0t6ax8xj) — San Leandro, CA
- [Metrology Applications Engineer](https://feeny.ai/job/metrology-applications-engineer-sirenopt-san-leandro-rq9dwz4cdbdp) — San Leandro, CA