Staff Electrical Engineer – FPGA

<div class="content-intro"><p><strong>About SirenOpt</strong></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We developed PlasmaSens™, our manufacturing intelligence platform, to close that visibility gap and to lay the foundation for truly autonomous manufacturing.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">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 to 3D components. That flexibility lets us meet manufacturers where they are and carry insight from the lab into mass production.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We have deployed multiple PlasmaSens products with customers and collaborators across the United States, Japan, Germany, and Taiwan.  We pair that real-world experience with support from leading US, European, and Japanese venture investors, the National Science Foundation, the California Energy Commission, and the Department of Energy.  Our combination of differentiated technology, manufacturing experience, and global scientific and industry partnerships gives us the foundation to solve material variability at scale.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></p></div><p><strong>About the job</strong></p> <p><strong>Job Title:</strong> Staff Electrical Engineer – FPGA / MPSoC Systems & Digital Signal Processing</p> <p><strong>Location:</strong> On-site (San Leandro, CA)</p> <p><strong>Job Type:</strong> Full-time</p> <p><strong>Role Overview</strong></p> <p>SirenOpt is looking for a <strong>Staff Electrical Engineer – FPGA / MPSoC & Digital Signal Processing</strong> Systems to lead the architecture, design, implementation, and validation of high-performance programmable logic, embedded processing, and FPGA-based digital signal processing systems powering our next-generation metrology platform.</p> <p>This is a hands-on, high-impact role for someone who enjoys working close to the technology, solving hard problems quickly, and helping shape products in an early-stage startup environment.</p> <p>This role is ideal for an engineer who is energized by deep tech, thrives in cross-functional environments, and is motivated by the opportunity to build something genuinely new.</p> <p>You will work closely with a small, highly capable team to turn advanced sensing, digital signal processing, and control concepts into robust, high-performance, field-ready systems.</p> <p><strong>What You’ll Do</strong></p> <ul> <li> <p>Lead the architecture, design, implementation, and validation of FPGA, MPSoC, and FPGA-based digital signal processing systems for SirenOpt's metrology platform.</p> </li> <li> <p>Develop designs from concept through architecture definition, RTL development, modeling, simulation, verification, testbench development, bench testing, and system bring-up.</p> </li> <li> <p>Build and maintain robust simulation and verification environments to validate functionality, timing, performance, and reliability at both block and system levels.</p> </li> <li> <p>Design and implement FPGA-based digital signal processing pipelines for real-time sensing and metrology applications, including FIR filters, synchronization pipelines, control loops, and low-latency data paths.</p> </li> <li> <p>Implement, evaluate, and refine signal-processing and control algorithms such as PID, ADPLL, filtering, and signal-conditioning methods for high-performance measurement systems.</p> </li> <li> <p>Use MATLAB and Python for algorithm development, modeling, data analysis, system validation, and signal and electrical data characterization.</p> </li> <li> <p>Perform large-scale data analysis to evaluate signal quality, characterize system behavior, and guide design tradeoffs and performance optimization.</p> </li> <li> <p>Collaborate closely with hardware, electrical, software, algorithm, and systems engineers to support end-to-end FPGA, MPSoC, firmware, and hardware integration.</p> </li> <li> <p>Read and interpret schematics to understand board-level architecture, interfaces, signal paths, power domains, and s