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Quantum AI Systems Architect

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Step into the future with Nexus Quantum Dynamics as we redefine computational boundaries in 2026. We're seeking a visionary Quantum AI Systems Architect to pioneer next-generation hybrid quantum-classical intelligence frameworks. Join our Austin-based innovation hub where you'll architect solutions that merge quantum supremacy with neural networks to solve humanity's most complex challenges.

As a cornerstone of our Quantum AI division, you'll collaborate with Nobel Prize-winning physicists and deep learning specialists to prototype breakthrough applications in drug discovery, climate modeling, and autonomous systems. Our state-of-the-art lab offers access to 1000+ qubit processors and real-world deployment environments. We provide comprehensive benefits including equity in our quantum patents, wellness stipends, and flexible hybrid work arrangements.

Responsibilities

  • Design scalable quantum AI architectures leveraging QML (Quantum Machine Learning) algorithms for enterprise applications
  • Develop hybrid quantum-classical neural networks optimizing for NISQ-era hardware constraints
  • Lead cross-functional teams in implementing quantum solutions across finance, logistics, and biotechnology sectors
  • Research and mitigate quantum decoherence effects in real-time AI processing pipelines
  • Create quantum security protocols for next-gen AI data encryption and privacy preservation
  • Document architectural blueprints and publish breakthrough research in peer-reviewed journals
  • Mentor junior researchers in quantum-computational theory and practical implementation

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks (PyTorch, TensorFlow)
  • Published research in quantum algorithms or quantum machine learning (arXiv, IEEE, Nature)
  • Proficiency in quantum circuit optimization and error correction techniques (surface code, LDPC)
  • Strong background in high-performance computing and distributed quantum systems
  • Certification in quantum security protocols (e.g., QKD, PQC standards)
  • Experience deploying quantum solutions in cloud environments (AWS Braket, Azure Quantum)

Required Skills

Quantum Computing Machine Learning Qiskit Q# Theoretical Physics Neural Networks Quantum Algorithms High-Performance Computing AI Security Quantum Error Correction

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