Applied AI Scientist, Technology Partnerships (Senior/Principal)

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 rising compute costs and energy bottlenecks. Our 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.

About the role

Our AI & algorithms team develops quantum approaches to training, inference, and reasoning, including quantum-native generative modeling. This role focuses on applied work with partner organizations to assess, prototype, and validate our methods in real-world domains. You will:

• Assess where our quantum-native generative methods apply to a specific domain: which algorithm, under what assumptions, in which regime it wins, and what would count as evidence.
• Build and run proof-of-concept work, adapting research-team implementations to relevant domains.
• Validate against the reference methods the partner already trusts, whether that's molecular dynamics, Monte Carlo, a classical solver, or their production model.
• Present and refine results in technical working sessions, carrying insights back into our development decisions.

You will also produce evidence through simulation, circuit emulation, and analytic resource models, design rigorous benchmarks, and extend our internal modeling environment to new workloads.

Requirements

• You are a scientist who ships: you write code daily, and your results are reproducible by someone else.
• Quantitatively deep enough to judge whether a result is right, not only whether the pipeline ran.
• Can hold a technical conversation with a domain expert in a field you didn't train in, and identify the real bottleneck.
• Value rigor: comfortable assessing where quantitative methods help, where they don't, and what evidence distinguishes the two.
• Move fast and can carry several engagements in parallel without letting any go stale.

Qualifications

Strong candidates may have:

• Advanced training (MS, PhD) in a computational field — physics, chemistry, applied mathematics, computational biology, engineering — or equivalent industry depth.
• Strong Python and scientific computing: linear algebra, ODE/SDE solvers, sampling and Monte Carlo methods, uncertainty quantification.
• Generative modeling experience: diffusion, flow matching, normalizing flows, score-based or energy-based models.
• Exposure to tensor network methods or other structured representations for high-dimensional problems.
• Applied domain experience in molecular or materials modeling, time-series forecasting, physical simulation, or generative design.
• Technical writing ability and a track record of reproducible research artifacts or collaborative publications.
• Curiosity about quantum computing; prior experience is welcome but not required.

Culture

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 execute with a love of detail. We publish our algorithm work when it meets our bar and lean into agentic AI tools as part of daily workflows.

Benefits

• Visa Sponsorship: We support visas whenever possible.
• Compensation: Competitive salary ($200,000 – $300,000) and meaningful equity.
• Health Coverage: Company-sponsored health benefits for you and your family.
• Connection: Company offsites and casual socials to build relationships.
• Time Off: Unlimited PTO to rest and recharge.

Pay

Base salary range: $200,000 – $300,000, plus equity.

Schedule

Full-time, on-site in San Francisco with occasional travel for cross-site coordination and partner meetings.