SirenOpt is accelerating sustainable and smart manufacturing of advanced materials using intelligent characterization and real-time decision-making to drive the creation of innovative, high-performance products that fuel the advancement of society. Backed by Activate Venture Partners.
About the role
Job Title: Staff Embedded Linux Software Engineer — Firmware Team SirenOpt is seeking an Embedded Linux Software Engineer to join a small, high-impact firmware team building the embedded software stack for a commercial bench-top scientific instrument. The platform is an AMD/Xilinx FPGA SoC (Zynq / UltraScale+) running PetaLinux, with a mix of userspace applications, device drivers, and real-time control interfacing with custom programmable logic. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- S., M.S., or PhD in Electrical Engineering, Software Engineering, or a related field, with 10+ years of relevant industry experience
- C for embedded Linux userspace, including threading, IPC, and POSIX APIs
- Python for test automation (pytest or equivalent framework) and scripted instrumentation
- TCP/IP socket programming on Linux (non-blocking I/O, connection lifecycle, streaming)
- UDP for discovery and lightweight telemetry
- Bus and serial protocols: UART, SPI, I2C, and CAN
More about this role
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.
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...
Browse similar: Startup jobs