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

SirenOpt•San Leandro, CA

20h•Onsite

About The Position

SirenOpt is seeking an early-career Software Engineer to build and maintain the real-time data pipeline behind its sensing platform. The work includes acquiring data from multiple sensors, processing and storing it on Linux-based systems, and delivering it to customer applications. The engineer will work primarily in modern C++ and Python, receive mentorship from senior engineers, and test and validate software hands-on with real hardware in the lab. The role offers end-to-end production software experience, from design discussions through deploying features at customer sites. The engineer will contribute to a small team working on a real-time sensing platform already used by large manufacturers. The position provides experience building high-throughput, multi-sensor pipelines; modern C++ and Linux systems engineering; cross-functional collaboration with software, firmware, and hardware teams; and responsible use of AI coding tools. The posting describes a path to grow into a mid-level engineer with ownership of individual components.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field; recent graduates are welcome.
0–2 years of professional software development experience; internships, co-ops, research, and substantial personal or open-source projects count.
Solid C++ foundation, 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 in existing codebases used for automation, testing, and data analysis.
Ability to learn programming languages quickly and read or occasionally modify code outside C++ and Python.
Understanding of data structures, algorithms, operating systems, and concurrency basics.
Comfort with the Linux command line, build tools such as CMake, a debugger, and Git-based workflows including branches, pull requests, and code review.
Hands-on experience using AI coding tools such as Claude Code, GitHub Copilot, or Cursor in a real development workflow, and judgment to review and test their output.
Comfort working hands-on with lab and test equipment, setting up sensors, running systems on real hardware, and collecting data for testing and validation; training on the company's equipment will be provided.
Clear written and verbal communication and ability to work well with teammates across disciplines.

Nice To Haves

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.

Responsibilities

Develop and maintain modern C++ (C++17/20) software components 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 services delivering results to applications.
Write and maintain Python scripts for automation, testing, and data analysis.
Read and, when needed, modify existing code written in other languages across the codebase.
Use AI coding tools such as Claude Code and GitHub Copilot to accelerate development, verifying their output through testing, profiling, and code review.
Run the system on real hardware in the lab to test and validate changes, including setting up sensors and collecting data.
Participate in code reviews, give and receive feedback, and follow team conventions for code quality.
Help diagnose and debug issues across software and hardware boundaries in collaboration with firmware and hardware engineers.
Measure and improve existing code performance under the direction of senior engineers.
Document work so other team members can build on it.