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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to pioneer next-generation solutions that bridge quantum computing and artificial intelligence. In this pivotal role, you'll design hybrid quantum-classical systems that solve previously unsolvable computational challenges while mentoring a multidisciplinary team of researchers and engineers.

Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources for experimentation, including 128-qubit quantum processors and dedicated AI supercomputing clusters. You'll collaborate with Nobel laureates and industry disruptors to develop algorithms that will redefine industries from pharmaceuticals to climate modeling.

Responsibilities

  • Design and implement hybrid quantum-classical neural networks for enterprise applications
  • Lead R&D initiatives in quantum machine learning algorithms and optimization techniques
  • Develop fault-tolerant quantum error correction protocols for AI workloads
  • Create architectural blueprints for quantum-AI integration in cloud environments
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Mentor cross-functional teams in quantum computing principles and AI implementation
  • Secure patents for novel quantum-AI methodologies and system architectures

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical AI frameworks
  • Demonstrated expertise in quantum error correction and fault-tolerant systems
  • Published research in quantum machine learning or quantum neural networks
  • Experience leading technical teams through complex development lifecycles
  • Strong background in high-performance computing and distributed systems
  • Deep understanding of quantum hardware limitations and software-hardware co-design

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Neural Networks Python C++ Qiskit Fault-Tolerance Research & Development

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