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Quantum AI Architect

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus 2026 Labs at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. We seek a visionary Quantum AI Architect to design and implement revolutionary computational frameworks that will redefine industries by 2026. This role demands expertise in cutting-edge quantum computing, machine learning integration, and ethical AI governance. You'll lead cross-disciplinary teams to transform theoretical models into scalable solutions, collaborating with global research institutions and industry disruptors. Our culture thrives on intellectual curiosity, rapid prototyping, and audacious innovation.

Responsibilities

  • Design quantum-resistant AI algorithms for real-time data processing
  • Architect hybrid quantum-classical computing infrastructure
  • Lead R&D initiatives for 2026-era autonomous systems
  • Develop ethical AI governance frameworks for quantum applications
  • Collaborate with quantum hardware teams to optimize algorithm performance
  • Pioneer new neural network architectures leveraging quantum entanglement
  • Translate complex quantum concepts into actionable business strategies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 5+ years experience in quantum algorithm development
  • Expertise in Python, Qiskit, and quantum machine learning frameworks
  • Published research in quantum-AI integration or top-tier conferences
  • Deep understanding of quantum error correction and fault tolerance
  • Experience leading technical teams in high-stakes R&D environments
  • Proficiency in ethical AI design and bias mitigation techniques
  • Knowledge of emerging quantum hardware architectures (e.g., superconducting, photonic)

Required Skills

Quantum Computing Machine Learning Python Qiskit Neural Networks Algorithm Design Quantum AI Ethical AI R&D Leadership

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