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Quantum AI Infrastructure Lead

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 185.000 – USD 275.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the quantum-AI convergence that will redefine 2026's digital landscape. We're seeking an elite Quantum AI Infrastructure Lead to architect and deploy next-generation computational frameworks that merge quantum supremacy with artificial intelligence. This role offers unparalleled opportunity to shape humanity's technological future while working with Nobel Prize-winning researchers and cutting-edge quantum processors.

Our Austin innovation hub features state-of-the-art quantum cryostats, exascale AI clusters, and a culture where breakthrough ideas become reality. You'll lead cross-disciplinary teams of quantum physicists, machine learning engineers, and cybersecurity specialists to build the foundational systems for tomorrow's most critical industries.

Responsibilities

  • Architect hybrid quantum-classical computing infrastructure for AI model training and inference
  • Design fault-tolerant quantum neural networks capable of processing exascale datasets
  • Develop quantum-secure cryptographic protocols for 2026-era data protection
  • Lead implementation of error-corrected qubit arrays in superconducting and photonic systems
  • Create real-time quantum-AI orchestration frameworks for autonomous decision systems
  • Optimize quantum algorithms for machine learning acceleration in drug discovery and climate modeling
  • Establish quantum network protocols enabling distributed quantum computing across global campuses

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics with 5+ years industry experience
  • Proven expertise in quantum error correction codes and fault-tolerant architectures
  • Deep knowledge of quantum machine learning algorithms (QNNs, QAOA, VQE)
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and classical AI frameworks
  • Experience deploying quantum systems in cloud environments (AWS Braket, Azure Quantum)
  • Strong background in high-performance computing and distributed systems
  • Published research in quantum-AI integration or quantum algorithms
  • Certification in quantum security protocols from recognized institutions

Required Skills

Quantum Computing Machine Learning Quantum Machine Learning Quantum Cryptography Fault-Tolerant Quantum Systems AI/ML Quantum Programming High-Performance Computing Distributed Systems Quantum Security

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