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Quantum AI Architect (2026 Initiative)

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

Job Description

Step into 2026 with Nexus Quantum Labs, where we're pioneering the future of quantum-AI fusion. We seek a visionary Quantum AI Architect to design next-generation systems that will redefine computational boundaries. Join our elite team in Austin to transform theoretical breakthroughs into real-world solutions that will power industries for decades to come. This role offers unparalleled resources to shape tomorrow's technological landscape.

You'll collaborate with Nobel laureates and lead projects that merge quantum mechanics with artificial intelligence, creating systems capable of solving previously unsolvable problems. Our state-of-the-art facility provides access to quantum processors, AI superclusters, and a collaborative environment where innovation thrives.

Responsibilities

  • Design and implement hybrid quantum-AI architectures for 2026-scale applications
  • Lead cross-functional teams of physicists, ML engineers, and domain experts
  • Develop error-correction protocols for quantum neural networks
  • Optimize quantum algorithms for real-time AI training at scale
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure $10M+ in R&D funding for experimental quantum-AI initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years experience in quantum algorithm design or AI architecture
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency with quantum programming languages (Qiskit, Cirq, PennyLane)
  • Published research in quantum machine learning or quantum AI
  • Experience securing government or corporate quantum research grants
  • Strong background in distributed quantum computing frameworks

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Error Correction Qiskit Cirq PennyLane Neural Networks Distributed Systems Research Leadership

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