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Quantum AI Systems Architect

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

Job Description

Shape the future of human-machine collaboration at Nexus Future Labs. We're pioneering quantum-integrated AI systems that redefine computational boundaries. As our Quantum AI Systems Architect, you'll architect next-generation neural networks leveraging quantum coherence principles to solve previously unsolvable challenges in healthcare, climate modeling, and autonomous systems. Join our interdisciplinary team of Nobel laureates and Turing Award winners in designing the computational backbone of 2026.

What You'll Achieve: Lead the development of hybrid quantum-classical AI frameworks that process exabyte-scale datasets with near-zero latency. Your innovations will directly impact breakthroughs in personalized medicine, sustainable energy grids, and interplanetary navigation systems.

Responsibilities

  • Design fault-tolerant quantum AI architectures using superconducting qubit arrays
  • Develop proprietary quantum machine learning algorithms for predictive modeling
  • Optimize neural network topology for quantum processor compatibility
  • Implement error-correction protocols for quantum-coherent AI systems
  • Lead cross-functional teams of quantum physicists and ML engineers
  • Secure patents for novel quantum-computing paradigms
  • Present breakthroughs at IEEE Quantum Computing Summit

Qualifications

  • PhD in Quantum Computing or Theoretical Physics from R1 institution
  • 5+ years experience in quantum algorithm development
  • Published research in Nature/Science on quantum machine learning
  • Proficiency in Qiskit, Cirq, and quantum circuit optimization
  • Expertise in tensor networks for quantum-classical hybrid systems
  • Deep understanding of quantum decoherence mitigation strategies
  • Experience with superconducting qubit manipulation protocols

Required Skills

Quantum Computing Machine Learning Theoretical Physics Qiskit Cirq Tensor Networks Superconducting Qubits Fault-Tolerant Design

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