Head of System Architecture, Frontier AI Hardware

ABOUT SYGALDRY

Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.

ABOUT THE ROLE:

This role is focused on the architecting of high-performing AI hardware, and does not require prior knowledge of quantum computers. This is a hands-on architecture role for someone who enjoys moving between whiteboard-level system design, performance modeling, and lightweight simulation/emulation, with direct influence on hardware, firmware, and software co-design decisions. We will share more detail about this role during in-person discussions.

YOU MAY BE A GOOD FIT IF YOU HAVE:

- Architected end-to-end heterogeneous compute systems spanning CPUs, GPUs and novel accelerators.

- Analyzed scale-up interconnects (e.g., NVLink, UALink, Infinity Fabric, or equivalent) and their impact on latency, bandwidth, and synchronization of high performance AI hardware

- Designed timing arcs, critical paths, and throughput models across complex multi-device systems.

- Identified system-level bottlenecks in training, inference, and reinforcement learning workflows at hyperscaler scale.

- Modeled and reasoned about GPU collective operations (e.g., NCCL, RCCL, or equivalents) across nodes, racks, and pods.

- Evaluated how collective communication patterns interact with emerging accelerators and non-GPU compute elements....