Head of System Architecture, Frontier AI Hardware

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. - Worked with software and firmware teams to ensure architectural assumptions map cleanly to real-world implementations. ## Why This Matters

Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. ## How We’re Different

At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We’re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. ##