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Quantum AI Research Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computation. You'll lead a multidisciplinary team pushing the boundaries of quantum machine learning, error correction, and autonomous AI decision-making. This role offers unparalleled opportunity to shape humanity's technological future while working with cutting-edge IBM Quantum and D-Wave systems in our state-of-the-art lab.

Our ideal candidate thrives at the intersection of theoretical physics and practical AI implementation, with a passion for solving previously unsolvable computational challenges. You'll collaborate with Nobel laureates and pioneer breakthroughs in quantum optimization, cryptography, and real-time analytics that will power industries from healthcare to space exploration.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for complex problem-solving
  • Lead cross-functional teams in developing quantum machine learning algorithms with 99.9%+ accuracy
  • Establish error-correction protocols for fault-tolerant quantum computing systems
  • Pioneer real-time quantum optimization solutions for autonomous systems
  • Develop proprietary quantum neural network frameworks for predictive analytics
  • Secure and implement quantum-resistant cryptography protocols
  • Publish breakthrough research in Nature/Science journals and secure patents

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 8+ years industry experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
  • Proven track record of developing production-level quantum algorithms
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Published research in quantum computing or AI with 5+ peer-reviewed papers

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Quantum Algorithms Neural Networks Cryptography High-Performance Computing AI Research

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