Neurophos develops photonic AI processing technology that focuses on hardware solutions for accelerating artificial intelligence inference by replacing traditional electronic compute elements with Optical Processing Units (OPUs). Backed by Purple Arch Ventures.
About the role
Lead integration of the full chip, or a major module/subsystem, including ownership of top-level integration flows. Make and own cross-domain technical decisions spanning system functionality, DFT, power, timing, and interconnect/data-fabric architecture.
What they're looking for
- Principal-level (or equivalent) technical leadership experience at a semiconductor or systems company, with multiple full-chip tapeouts
- Demonstrated breadth across domains: for example, you've closed timing on a block and argued interconnect architecture in the same design cycle
- Deep experience in at least one of: CPU design, or high-speed interconnect / data-fabric design. Interconnect and data-fabric work is especially central to what we're building
- Experience with advanced process nodes, high-bandwidth I/O, and large, physically big subsystem or full-chip designs
- Cadence toolchain experience
- Comfortable being evaluated as either an individual-contributor technical leader or a people manager, we're open to either path for the right person
More about this role
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...
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