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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer the next generation of computational intelligence. This is your opportunity to shape humanity's digital future by merging quantum mechanics with artificial intelligence in our state-of-the-art San Francisco lab.

Our ideal candidate will develop groundbreaking quantum machine learning algorithms that solve previously unsolvable problems in cryptography, materials science, and climate modeling. You'll collaborate with Nobel laureates and Silicon Valley pioneers in an environment where innovation isn't just encouraged—it's our DNA.

What makes this role exceptional: You'll have access to our 1000-qubit quantum annealing system and unlimited research budget. Your work will directly impact Fortune 500 clients and national security initiatives, with opportunities to publish findings in Science and Nature.

Responsibilities

  • Design and implement quantum neural networks for pattern recognition optimization
  • Develop hybrid quantum-classical AI frameworks for real-time decision systems
  • Lead cross-functional teams in quantum algorithm development and deployment
  • Conduct pioneering research in quantum machine learning applications
  • Secure patents for novel quantum AI methodologies
  • Mentor junior researchers in quantum computing principles
  • Present breakthrough findings at international tech conferences

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction techniques
  • Published research in quantum machine learning or related fields
  • Proficiency in Python, TensorFlow, and high-performance computing
  • Experience with quantum hardware integration (IBM Quantum, Rigetti)
  • Strong background in information theory and quantum entanglement

Required Skills

Quantum Computing Machine Learning Algorithm Design Q# Python TensorFlow Quantum Hardware Neural Networks

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