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2026 Quantum AI Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the 2026 quantum-AI convergence frontier. We seek a visionary architect to design next-gen systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of quantum computing integration with artificial intelligence, working alongside Nobel laureates and industry pioneers in our state-of-the-art Austin facility.

As a key member of our Future Technologies division, you'll drive the development of hybrid quantum-neural networks that will solve previously impossible challenges in cryptography, materials science, and autonomous systems. Your strategic vision will directly influence our 2026 product roadmap, positioning us as leaders in the post-silicon era.

Responsibilities

  • Architect scalable quantum-AI hybrid systems targeting 2026 deployment milestones
  • Lead cross-disciplinary teams of quantum physicists, ML engineers, and cybersecurity specialists
  • Design fault-tolerant quantum neural networks with 100+ qubit coherence
  • Develop proprietary quantum-classical computing interfaces for enterprise applications
  • Drive innovation in quantum-resistant cryptography and post-quantum security protocols
  • Establish strategic partnerships with quantum hardware manufacturers and academic institutions
  • Present breakthrough concepts to C-suite executives and external stakeholders

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Proven track record designing quantum algorithms or neural networks with >100 qubit simulations
  • Expertise in Python, Qiskit, TensorFlow/PyTorch, and quantum error correction techniques
  • Published research in Nature/Science journals on quantum-AI integration
  • Strong background in topological quantum computing or quantum machine learning
  • Experience leading technical teams through agile development of complex systems
  • Deep understanding of NISQ-era limitations and 2026 quantum hardware roadmaps

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Cryptography Python Qiskit TensorFlow Topological Quantum Computing Quantum Machine Learning

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