Applied AI Scientist, Technology Partnerships (Senior/Principal)
San Francisco$200k - $300kFull-timePosted 2mo ago
About the role
Senior/Principal role connecting partner needs with quantum-accelerated AI research and algorithms; responsible for taking scoped collaboration, prototyping, benchmarking, and serving as the technical voice in partner discussions.
Responsibilities
- 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 the proof-of-concept work, and adapt 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, and carry what you learn -- model scales, data characteristics, evaluation criteria -- back into decisions about what we develop next
- Produce evidence by whichever route fits the question: approximate simulation where a structured representation scales, circuit emulation where exact small-scale results matter, and analytic resource models to reach past what either can run
- Design benchmarks that hold up: quantum, classical, and hybrid compared under realistic assumptions, against the strongest classical method rather than a convenient one
- Use our internal modeling and simulation environment to show a partner what their own workload would look like on our architecture
- Extend those models to new algorithm workloads, and produce the charts, comparisons, and reproduction artifacts behind our published and partner-facing results
Qualifications
- Advanced training (MS, PhD) in a computational field -- physics, chemistry, applied mathematics, computational biology, engineering -- or equivalent depth built in industry
- 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
Skills
Required:PythonScientific computingGenerative modeling
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 a 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.
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Sygaldry Technologies
quantum-accelerated AI servers
We’re building quantum-accelerated AI servers so organizations building AI can exponentially speed up training and inference. And we’re making tools for AI researchers to integrate quantum capabilities into AI models and workflows.
hard-techquantum-computingai
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