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Quantum AI Systems Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Systems Architect to design next-generation computational frameworks that merge quantum computing with artificial intelligence. This pivotal role demands a pioneer who can architect scalable quantum neural networks, optimize quantum-classical hybrid systems, and solve previously unsolvable computational challenges. You'll lead cross-functional teams in developing proprietary quantum algorithms while contributing to the future of autonomous systems, cryptography, and scientific discovery.

Our Austin hub offers state-of-the-art quantum research facilities, collaborative innovation spaces, and unparalleled opportunities to shape the 2026 technology landscape. We provide comprehensive benefits including equity, wellness stipends, and continuous learning programs.

Responsibilities

  • Design and implement quantum neural network architectures for AI optimization
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Create hybrid quantum-classical machine learning frameworks for real-world applications
  • Lead quantum algorithm development for cryptography and simulation problems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Document technical specifications and publish research in peer-reviewed journals
  • Mentor junior researchers and foster cross-disciplinary innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years in quantum computing or advanced AI system architecture
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum machine learning frameworks (e.g., PennyLane, QML)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Published research in quantum computing or AI (IEEE, Nature, etc.)

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Q# Cirq Neural Networks Cryptography Fault Tolerance Python TensorFlow PyTorch

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