Systems Architect

Sygaldry Technologies • San Francisco, CA

5d

About The Position

Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference. Our AI servers will address the problem of rising compute and energy costs for scaling AI, enabling companies to innovate faster and more affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture, leveraging their respective strengths while avoiding their limitations. We're building the infrastructure for quantum superintelligence. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. Our team is growing—we're looking for scientists who want to shape how quantum and AI intersect, and unlock the potential of both together. About the Role: As a Senior Systems Architect, you are responsible for the overall architecture of the server that will connect to GPU/XPU scale-up networks and will enable the quantum computing sub-systems to exponentially speed up production training and inference workloads. You will design, analyze, and model how heterogeneous compute elements interconnect, synchronize, and scale—focusing on GPU scale-up fabrics, collective communication, and system-level performance bottlenecks. 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.

Requirements

• least five years of experience architecting similarly complex high performance systems deployed in production datacenters
• Are familiar with GPU scale-up domains generally, such as NVLink, UALink or other scale-up architectures
• Are familiar with the AI training and inference workflows in large (i.e. hyperscaler) data centers and the main bottlenecks in training, training and reinforcement learning

Responsibilities

• Architect end-to-end heterogeneous compute systems spanning CPUs, GPUs, accelerators, and quantum-adjacent subsystems.
• Analyze scale-up interconnects (e.g., NVLink, UALink, Infinity Fabric, or equivalent) and their impact on latency, bandwidth, and synchronization.
• Design timing arcs, critical paths, and throughput models across complex multi-device systems.
• Identify system-level bottlenecks in training, inference, and reinforcement learning workflows at hyperscaler scale.
• Model and reason about GPU collective operations (e.g., NCCL, RCCL, or equivalents) across nodes, racks, and pods.
• Evaluate how collective communication patterns interact with emerging accelerators and non-GPU compute elements.
• Work with software and firmware teams to ensure architectural assumptions map cleanly to real-world implementations.
• Act as a bridge between hardware, systems, and software teams, translating requirements and constraints across domains.
• Collaborate with quantum hardware engineers to define clean interfaces and timing contracts—without requiring quantum domain expertise.
• Engage with external partners and ecosystems (e.g., interconnect standards bodies, silicon vendors, hyperscaler partners).

Benefits

• Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible.
• Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.
• Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
• Connection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
• Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed