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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

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

Job Description

Shape the future of artificial intelligence at Nexus Labs, where quantum computing meets machine learning. We're pioneering the next frontier of computational intelligence and seek a visionary Quantum AI Architect to lead breakthrough research. Join our elite team in San Francisco to develop hybrid quantum-neural systems that will redefine technological capabilities for 2026 and beyond.

This role offers unparalleled opportunity to work with cutting-edge quantum hardware and collaborate with Nobel laureates, AI pioneers, and quantum physicists. You'll drive the development of fault-tolerant quantum algorithms while mentoring the next generation of quantum computing specialists.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for complex optimization problems
  • Lead research in quantum machine learning algorithms and error correction protocols
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Develop quantum neural network frameworks for real-world applications in finance and healthcare
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor cross-functional teams of quantum engineers and AI researchers
  • Drive strategic partnerships with quantum hardware manufacturers

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 5+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in advanced mathematics (linear algebra, topology, probability)
  • Proven track record of publishing in Nature/Science or equivalent journals
  • Experience with large-scale distributed computing frameworks
  • Deep knowledge of AI/ML architectures and optimization techniques
  • Ability to translate theoretical concepts into practical implementations

Required Skills

quantum computing machine learning Qiskit Cirq Q# quantum error correction neural networks optimization algorithms Python TensorFlow PyTorch distributed computing

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