The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach. Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference. We’ve assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft’s Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others. Join us and shape the future of computing! Location: Austin, TX. Full-time onsite position. Reports To: Chief Systems Engineer FLSA Status: Exempt Position Overview We are seeking a highly skilled Systems Engineer to own the quantitative, end-to-end performance model of our optical vector-matrix multiplication (OVMM) engine. This role is the technical center of Systems Engineering's performance-modeling focus area: you will build and maintain the link and power budgets, quantify optical, analog, and digital impairments, and determine how accuracy, throughput, and power trade against one another as the architecture evolves. You will spend the bulk of your time running system-level simulations (Monte Carlo, corner, and time-domain), translating them into defensible allocations that the rest of the organization can design against. If you have deep communication-theory and signal-processing intuition, are fluent in turning a signal chain into a quantitative model, and want to be the person who can answer "where does the system actually lose its margin," this role will let you define the performance envelope of a first-of-its-kind computing platform.
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Job Type
Full-time
Career Level
Senior