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Quantum Machine Learning Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Machine Learning Architect to design next-gen AI systems that merge quantum computing with neural networks. Lead groundbreaking research in quantum-optimized algorithms, collaborate with Nobel laureates, and shape the future of artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture of radical innovation.

Responsibilities

  • Design quantum-optimized machine learning frameworks for real-world applications
  • Lead cross-functional teams of quantum physicists and AI researchers
  • Develop novel quantum neural network architectures with 10x performance gains
  • Secure patents for breakthrough quantum-AI hybrid methodologies
  • Present findings at global tech summits and peer-reviewed journals
  • Mentor junior researchers in quantum-computing best practices

Qualifications

  • PhD in Quantum Computing or Machine Learning (or equivalent experience)
  • 5+ years developing quantum algorithms or large-scale neural networks
  • Expertise in quantum circuit design and error correction protocols
  • Published research in Nature/Science on quantum-AI integration
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
  • Strong track record of securing tech innovation grants
  • Experience leading high-stakes R&D initiatives in Fortune 500 settings

Required Skills

quantum computing machine learning neural networks quantum algorithms Qiskit Cirq TensorFlow Quantum AI research

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