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Quantum AI Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine computing paradigms. This pivotal role bridges quantum mechanics and artificial intelligence to solve humanity's most complex challenges. You'll lead a multidisciplinary team in building scalable quantum neural networks while pioneering ethical frameworks for autonomous systems. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into real-world applications.

Responsibilities

  • Architect hybrid quantum-classical AI systems for 2026-scale computational challenges
  • Design fault-tolerant quantum neural networks with 99.9% coherence stability
  • Lead cross-functional teams in implementing quantum-resistant encryption protocols
  • Develop ethical AI governance frameworks for autonomous decision-making systems
  • Optimize quantum algorithms for real-time predictive analytics in healthcare and climate modeling
  • Secure $50M+ R&D funding through cutting-edge research proposals
  • Mentor junior researchers in quantum machine learning methodologies

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Published research in top-tier journals (Nature, Science, or IEEE) on quantum machine learning
  • Expertise in quantum circuit design using Qiskit or Cirq frameworks
  • Proven track record of deploying production-level quantum AI systems
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong background in ethical AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Experience securing federal or corporate R&D grants exceeding $10M

Required Skills

Quantum Computing Machine Learning Neural Networks Cryptography AI Ethics Research Leadership Quantum Algorithms

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