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Quantum AI Architect

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

Job Description

Join Nexus 2026 Labs at the vanguard of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Architect, you'll architect the next generation of intelligent systems that will redefine industries by 2026. This role demands a visionary who thrives at the intersection of theoretical physics, machine learning, and scalable infrastructure.

Our cutting-edge research lab offers unparalleled resources and a culture that encourages intellectual daring. If you're ready to shape the future rather than react to it, this is your moment.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
  • Lead research initiatives in quantum machine learning algorithms and error correction protocols
  • Collaborate with quantum hardware teams to optimize AI workloads for next-generation processors
  • Develop strategic roadmaps for integrating quantum AI capabilities into production systems
  • Mentor cross-functional teams on quantum computing principles and their AI applications
  • Publish breakthrough research in peer-reviewed journals and industry conferences

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
  • Expertise in quantum algorithms (QAOA, VQE, Grover's) and AI frameworks (PyTorch, TensorFlow)
  • Proven track record of deploying production quantum systems with real-world impact
  • Publish record in top-tier journals (Nature, Science, IEEE) or equivalent patents
  • Mastery of quantum programming languages (Qiskit, Cirq) and high-performance computing
  • Demonstrated ability to translate complex theoretical concepts into practical business solutions

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Theoretical Physics Quantum Algorithms PyTorch Qiskit High-Performance Computing

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