Quantum AI Scientist for Applied Research

Zaka Vc; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Competitive salary + equity

Comprehensive health coverage

Career growth opportunities

Unlimited PTO

Job summary

Sygaldry Technologies is seeking a Computational Scientist to translate quantum-native AI methods into partner domains. You will prototype, benchmark, and demonstrate how our generative approaches outperform classical baselines on real workloads.

The role emphasizes rigorous, reproducible research, collaboration with partner teams, and presenting compelling evidence that informs product directions. A PhD or MS in computation is highly valued, with a strong foundation in Python and scientific

Qualifications

• Advanced training (MS, PhD) in a computational field.
• Strong Python and scientific computing: linear algebra, ODE/SDE solvers, sampling and Monte Carlo methods, uncertainty quantification.
• Experience with generative modeling, diffusion, or flow matching.

Responsibilities

• Assess where our quantum-native generative methods apply to specific domains and determine the evidence needed.
• Build and run proof-of-concept work; adapt research implementations to domains.
• Validate results against reference methods used by partners.
• Present results in technical sessions and feed learnings back into development.

Skills

Python

Monte Carlo

Linear algebra

ODE/SDE solvers

Uncertainty quantification

Education

MS/PhD in computational field

Tools

Tensor networks

Job description

Sygaldry Technologies is seeking a Computational Scientist to translate quantum-native AI methods into partner domains. You will prototype, benchmark, and demonstrate how our generative approaches outperform classical baselines on real workloads.

The role emphasizes rigorous, reproducible research, collaboration with partner teams, and presenting compelling evidence that informs product directions. A PhD or MS in computation is highly valued, with a strong foundation in Python and scientific