Frontier Quantum AI Scientist: Learning, Inference & Design

Sygaldry Technologies, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Visa sponsorship

Competitive salary & equity

Health benefits

Team offsites & socials

Unlimited PTO

Job summary

Sygaldry Technologies, Inc. is seeking a Research Scientist to define Quantum AI across learning, inference, reasoning, and design.

You will explore how fault-tolerant quantum computation can transform AI primitives and work at the intersection of frontier AI/ML, quantum algorithms, and hardware-software co-design. You will identify where quantum can provide structural advantages, develop new frameworks, and translate insights into practical AI architectures and hardware decisions.

Qualifications

• Research track in ML/AI, physics, statistics, or related fields.
• Experience with ML frameworks and efficient inference implementation.
• Familiarity with quantum algorithms and quantum information is a plus.

Responsibilities

• Define Quantum AI research directions at the intersection of frontier AI and quantum algorithms.
• Develop theoretical and empirical frameworks for learning, inference, and design in quantum-enabled AI.
• Translate research insights into systems and collaborations with hardware/software teams.

Skills

Machine learning

Statistics

Physics

Applied mathematics

Quantum information

Python

JAX

PyTorch

Tools

PyTorch

JAX

PennyLane

Qiskit

Cirq

CUDA-Q

TensorCircuit

Job description

Sygaldry Technologies, Inc. is seeking a Research Scientist to define Quantum AI across learning, inference, reasoning, and design.

You will explore how fault-tolerant quantum computation can transform AI primitives and work at the intersection of frontier AI/ML, quantum algorithms, and hardware-software co-design. You will identify where quantum can provide structural advantages, develop new frameworks, and translate insights into practical AI architectures and hardware decisions.