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Quantum AI Research Scientist

NeuroTech Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NeuroTech Dynamics at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this visionary role, you'll develop cutting-edge quantum algorithms, design hybrid quantum-classical neural networks, and publish breakthrough research in top-tier journals. Collaborate with Nobel laureates and industry pioneers to shape the future of computational intelligence. If you're driven to push beyond conventional boundaries and transform theoretical possibilities into tangible solutions, this is your defining moment.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for real-world applications
  • Lead R&D projects in quantum neural networks and quantum-enhanced AI systems
  • Develop hybrid quantum-classical frameworks for computational acceleration
  • Collaborate with hardware teams to optimize quantum algorithm performance
  • Publish peer-reviewed research and present findings at international conferences
  • Mentor junior researchers and establish new industry benchmarks
  • Secure federal and private research funding for quantum AI initiatives

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq) and classical ML frameworks
  • Published record in quantum AI or high-impact computer science venues
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Exceptional analytical skills with ability to translate complex theories into practical solutions
  • Track record of securing research grants or industry partnerships

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow Research Methodology Quantum Algorithms Neural Networks High-Performance Computing

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