Sygaldry builds quantum-accelerated AI servers to exponentially speed up AI training and inference, cutting compute costs and improving energy efficiency. Backed by Y Combinator.
About the role
Publish your findings in top-tier conferences (NeurIPS, ICML, ICLR, QIP) and journals. Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements—we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
Type : Fixed Term (2 Years) with potential 1-year extension or FTE conversion
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.
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.
Identify mathematical structures in...
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