Systems Architect

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

About Sygaldry

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. Were 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 growingwere 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 scalefocusing 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.

What Youll Work On:

System Architecture

  • 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.

Cross-Functional Collaboration

  • 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 contractswithout requiring quantum domain expertise.

  • Engage with external partners and ecosystems (e.g. interconnect standards bodies silicon vendors hyperscaler partners).

You May Be a Good Fit If You

  • Have 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

Why This Matters

Generative AI is bottlenecked by compute. Training and inference costs for diffusion models are measured in GPU-years and megawatt-hours. If quantum acceleration can fundamentally change these economics it changes what generative AI can doand who can access it. Your work could help make these models more efficient more capable and more sustainable.

How Were Different

We believe kind people build strong teams: we prioritize mission over ego and share our thinking transparently. We celebrate curiosity dream big and forge our own path but always with strong execution towards measurable goals. Our teams collaborate closely together questioning assumptions and balance optimism with rigorous validation. We move fast and build things knowing that perfect is the enemy of done.

Culture & Benefits

  • Visa Sponsorship - We know what it takes to make top talent thrive here. Were 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 its 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.

We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

We encourage you to apply even if you do not believe you meet every single qualification. If you dont think this role is right for you but you believe that you would have something meaningful to to contribute to our mission please reach out at


Required Experience:

Staff IC

About SygaldrySygaldry 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 co...
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