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Quantum AI Architect 2026

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

Job Description

Join Nexus Future Labs as we pioneer the next frontier of human-machine collaboration. We're seeking a visionary Quantum AI Architect to design and implement breakthrough systems that will redefine technology by 2026. This role bridges quantum computing and artificial intelligence to solve previously unsolvable challenges in cryptography, climate modeling, and autonomous systems.

As a key member of our Innovation Division, you'll lead projects that push the boundaries of computational possibility while ensuring ethical implementation. Our Austin hub offers unparalleled resources including a 500-qubit quantum processor and partnership with UT's Quantum Science Center. You'll work alongside Nobel laureates and Turing Award winners in an environment where curiosity fuels progress.

Responsibilities

  • Design scalable quantum neural networks for 2026-era AI applications
  • Develop hybrid quantum-classical algorithms for real-time data processing
  • Lead cross-functional teams in implementing quantum-resistant security protocols
  • Research and integrate emerging quantum computing technologies (superconducting, photonic, topological)
  • Create predictive models for quantum AI system behavior and optimization
  • Collaborate with government agencies on quantum AI standardization initiatives
  • Publish research in leading scientific journals and industry whitepapers

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Advanced AI with 8+ years industry experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Published research on quantum error correction or quantum supremacy
  • Proficiency in high-performance computing environments (HPC) and GPU acceleration
  • Experience with ethical AI governance frameworks and bias mitigation
  • Track record of leading R&D projects with $5M+ budgets
  • Strong background in cryptography or computational complexity theory

Required Skills

Quantum Computing Machine Learning Cryptography High-Performance Computing Theoretical Physics Neural Networks AI Ethics Research Leadership

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