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Quantum AI Architect

Nexus Labs
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026. We're seeking a visionary Quantum AI Architect to design next-generation hybrid systems that redefine computational boundaries. You'll lead cross-disciplinary teams in developing fault-tolerant quantum algorithms and AI-driven optimization frameworks for breakthrough applications in cryptography, drug discovery, and autonomous systems. Our state-of-the-art lab offers unparalleled resources including quantum annealers, photonic processors, and exascale computing clusters. Enjoy competitive equity packages, flexible hybrid work, and dedicated R&D time for moonshot projects.

Responsibilities

  • Design scalable quantum-AI architectures leveraging hybrid quantum-classical workflows
  • Develop fault-tolerant quantum algorithms for machine learning optimization
  • Lead research in quantum neural networks and generative AI models
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Translate theoretical frameworks into production-ready quantum cloud solutions
  • Mentor researchers in quantum information theory and advanced ML techniques
  • Publish breakthrough research in top-tier journals and conferences

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proven track record in publishing quantum-AI research (Nature/Science papers preferred)
  • Proficiency in quantum error correction and fault-tolerant protocols
  • Deep understanding of quantum hardware architectures (superconducting, photonic, trapped ion)
  • Strong Python/C++ skills with high-performance computing experience
  • Experience leading technical teams and managing R&D roadmaps

Required Skills

Quantum Computing Machine Learning Fault-Tolerant Algorithms Quantum Hardware Python C++ Research Leadership

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