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About the Role
Sygaldry Technologies is developing quantum-accelerated AI servers to exponentially enhance AI training and inference, aiming to accelerate the path to superintelligence and ensure its efficient, affordable scaling. Our AI servers uniquely combine multiple qubit types in a fault-tolerant architecture for the cost, scale, and speed required by advanced AI applications. We are exploring new frontiers in physics, engineering, and AI, driven by a grounded, optimistic, and rigorous culture, and seek individuals to define and advance the quantum-AI intersection.
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 amenable to quantum speedup.
- Prototype hybrid workflows where quantum subroutines accelerate classical pipelines.
- Benchmark theoretical versus practical advantages, producing white papers and internal technical reports.
- Publish findings in top-tier conferences and journals.
- Collaborate with quantum hardware teams to inform future architecture requirements.
- Translate research insights into scalable proof-of-concept implementations.
Requirements
- Hold a PhD (or are nearing completion) in Computer Science, Physics, Applied Mathematics, or a related field.
- Deep expertise in diffusion probabilistic models, score matching, or related generative methods.
- Understanding of the mathematical foundations: SDEs, ODEs, Langevin dynamics, and probability flow.
- Experience with ML frameworks (PyTorch, JAX) and writing clean, research-grade code.
- Strong track record of research excellence (first-author publications).
- Excited to work on novel problems and question assumptions with rigor.
- Published research specifically on diffusion models, score-based generation, or neural ODE/SDE methods.
- Experience optimizing sampling efficiency.
- Familiarity with numerical methods for differential equations.
- An understanding of quantum algorithms and computational complexity.
- Background in high-dimensional probability or stochastic processes.
Skills
- Generative Models
- Diffusion Models
- Score-Based Generative Models
- Mathematical Efficiency
- Theoretical Analysis
- ODE/SDE Solvers
- Quantum Algorithms
- ML Frameworks (PyTorch, JAX)
- Research-Grade Code
- Publishing Research
- Quantum-Classical Hybridization
- Numerical Methods for Differential Equations
- High-Dimensional Probability
- Stochastic Processes
Location
- Ann Arbor, MI
- San Francisco, CA
Work Type
- Full-Time
- On-Site
- Fixed Term (1 Year)
- Potential 1-year extension
- FTE conversion
Experience Level
- PhD or nearing completion
Education Level
- PhD
Salary/Compensations
- Significantly above standard academic postdoctoral rates
Benefits
- Access to industrial-scale compute and hardware resources
- Intellectual freedom of an academic environment
- Visa Sponsorship
- Company-sponsored health coverage
- Company offsite
- Casual crew socials
- Unlimited PTO
About the Company
- 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.
- We’re building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI.
- 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 we execute with a love of detail.
Equal Opportunity
- We encourage applications from candidates with diverse backgrounds.
- We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.