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Sygaldry Technologies · 1 day ago

Quantum-AI Postdoctoral Fellow

San Francisco

Full-time

Onsite

New Grad

Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. The Quantum-AI Postdoctoral Fellow will conduct exploratory research in generative models, focusing on mathematical efficiency and quantum-classical hybridization, while also publishing findings and collaborating with hardware teams.

Artificial Intelligence (AI)HardwareQuantum Computing

H1B Sponsored

Responsibilities

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 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

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 scalable proof-of-concept implementations that can be handed off to engineering teams

Qualification

Diffusion probabilistic modelsMathematical foundationsML frameworksQuantum algorithmsNumerical methodsResearch excellenceCollaborationProblem-solving

Required

Hold a PhD (or are nearing completion) in Computer Science, Physics, Applied Mathematics, or a related field

Have deep expertise in diffusion probabilistic models, score matching, or related generative methods

Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, and probability flow

Are experienced with ML frameworks (PyTorch, JAX) and writing clean, research-grade code

Possess a strong track record of research excellence (first-author publications)

Are excited to work on problems no one has solved before, questioning assumptions with rigor

Preferred

Published research specifically on diffusion models, score-based generation, or neural ODE/SDE methods

Experience optimizing sampling efficiency (e.g., DDIM, DPM-Solver, consistency models)

Familiarity with numerical methods for differential equations

An understanding of quantum algorithms and computational complexity (though deep quantum expertise is not required if the ML math is strong)

Background in high-dimensional probability or stochastic processes

Benefits

Company-sponsored health coverage

Unlimited PTO

Company

Sygaldry Technologies

Sygaldry Technologies is a tech company building quantum-accelerated AI servers to exponentially speed up AI training and inference.

Founded in 2024

Mountain View, California, USA

2-10 employees

https://sygaldry.com/

Funding

Current Stage

Early Stage

Total Funding

$33M

2025-06-15Seed· $33M

Leadership Team

Chad Rigetti

Co-founder and CEO

Michael Keiser

Co-Founder

Company data provided by crunchbase