Base Salary
$120k - $160k/yr
Responsibilities
- Develop and maintain modern C++ components for Linux-based systems.
- Implement features, fix bugs, and write unit and integration tests across the sensor data pipeline.
- Write Python scripts for automation, testing, and data analysis.
- Read and occasionally modify code in languages beyond C++ and Python.
- Use AI coding tools and verify their output through testing, profiling, and code review.
- Run software on real hardware, set up sensors, and collect data in the lab.
- Participate in code reviews and follow team code-quality conventions.
- Diagnose and debug issues across software and hardware boundaries with firmware and hardware engineers.
- Measure and improve existing code performance under senior-engineer direction.
- Document work for other team members.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- 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, pointers and references, the standard library, and object-oriented and generic programming.
- Ability to read, understand, and write Python within existing automation, testing, and data-analysis codebases.
- Ability to learn new programming languages and work across a multi-language codebase.
- Understanding of data structures, algorithms, operating systems, and concurrency basics.
- Comfort with Linux command-line tools, build tools, debuggers, and Git-based workflows.
- Hands-on experience using AI coding tools such as Claude Code, GitHub Copilot, or Cursor and reviewing and testing their output.
- Comfort working with laboratory and test equipment, sensors, real hardware, and data collection; training on specific equipment is provided.
- Clear written and verbal communication and ability to collaborate across disciplines.
- Preferred experience with Qt, gRPC, Protocol Buffers, profiling and debugging tools, hardware interfaces, automated testing, or open-source contributions.
Benefits
- On-site full-time role in San Leandro, California.
- Equity and salary compensation depend on experience.
- Health, dental, and vision plans are provided.
- 401(k) matching is provided.
- 20 days of paid time off per year plus approximately 15 paid US holidays per year.
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. 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. Our manufacturing intelligence platform scans materials, revealing critical internal information without damaging them. Using a novel combination of cold atmospheric plasma, physics-informed machine learning, and predictive analytics, SirenOpt creates unique, real-time fingerprints that capture material signals no other method can access. 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. Our first commercial product will be released in 2026. SirenOpt was founded in 2022 as a spin-out from the UC Berkeley Chemical Engineering Department. SirenOpt is supported by the UC Berkeley Skydeck, Lawrence Berkeley National Laboratory Cyclotron Road and Activate science-driven startup accelerator programs. SirenOpt is also supported by a BRIDGE Grant from the California Energy Commission. For employment opportunities please visit our careers page: https://www.sirenopt.com/careers