Quantum Applications Architect - Fault-Tolerant Algorithms

Entangled Future; Brisbane; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

PsiQuantum’s applications team is seeking a Quantum Applications Architect at mid-level. The role focuses on designing, benchmarking and implementing quantum algorithms for fault-tolerant quantum computers, working closely with architecture and software teams to accelerate commercial use cases.

You'll contribute to developing novel algorithmic techniques, simulate resource requirements, and collaborate with internal partners to translate research into practical applications across domains.

Qualifications

• Graduate degree in Physics, Math, or Computer Science or equivalent (MSc/PhD or equivalent) is required.
• Significant research experience in quantum algorithms, compilation, complexity, or applications research.
• Experience with quantum algorithms or compiling in the fault-tolerant regime is preferred.
• Ability to work in a fast-moving startup environment and contribute across departments.

Responsibilities

• Research and development of techniques for quantum algorithms tailored for fault-tolerant quantum computers.
• Contribute to design, development, and benchmarking of quantum applications and the tools required.
• Collaborate with external partners and internal teams to instantiate, validate and optimize quantum algorithms for diverse use cases.
• Simulate and analyze resource requirements for fault-tolerant implementation of quantum algorithms.
• Collaborate with the quantum architecture group to co-optimize algorithm methods with architectural design.

Skills

Quantum algorithms

Compilation

Fault-tolerant

Research

Cross-team collaboration

Education

Physics/Math/CS degree

Job description

PsiQuantum’s applications team is seeking a Quantum Applications Architect at mid-level. The role focuses on designing, benchmarking and implementing quantum algorithms for fault-tolerant quantum computers, working closely with architecture and software teams to accelerate commercial use cases.

You'll contribute to developing novel algorithmic techniques, simulate resource requirements, and collaborate with internal partners to translate research into practical applications across domains.