sygaldry-technologies · San Francisco
Location: Full-Time On-Site in Ann Arbor, MI or San Francisco, CA offices Type: Fixed Term (1 Year) with potential 1-year extension or FTE conversion About Sygaldry 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 super intelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry 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. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. What You'll Work On Exploratory Research in Generative Models - Investigate and advance state-of-the-art diffusion and score-based generative models with a focus on mathematical efficiency. - Conduct deep theoretical analysis of computational bottlenecks in sampling, denoising, and likelihood estimation. - Develop novel solver methods for diffusion ODEs/SDEs that are mathematically compatible with quantum algorithms. Quantum-Classical Hybridization - Identify mathematical structures in generative models (e.g., linear algebra subroutines, probabilistic flows) amenable to quantum speedup. - Prototype hybrid workflows where quantum subroutines accelerate classical pipelines, using simulation or hardware access. - Rigorously benchmark theoretical versus practical advantages, producing white papers and internal technical reports. Academic & Industrial Impact - Publish your findings in top-tier conferences (NeurIPS, ICML, ICLR, QIP) and journals. - Collaborate with quantum hardware teams to inform future architecture requirements based on algorithmic needs. - Translate research insights into…
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