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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect the next generation of intelligent systems that blend quantum mechanics with advanced machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Shape the future of computational intelligence with a team of Nobel-caliber researchers and industry disruptors.

Responsibilities

  • Design and implement quantum neural networks for next-gen AI architectures
  • Develop hybrid quantum-classical algorithms for exponential computational acceleration
  • Lead experimental validation of quantum supremacy in machine learning tasks
  • Collaborate with hardware teams to optimize quantum-AI system performance
  • Author breakthrough research papers for top-tier journals and conferences
  • Mentor cross-functional teams in quantum machine learning methodologies
  • Secure patents for novel quantum-AI intellectual property

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics with 5+ years R&D
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and circuit design
  • Proficiency in quantum frameworks (Qiskit, Cirq, Q#) and AI frameworks (TensorFlow, PyTorch)
  • Published record in quantum machine learning or quantum information theory
  • Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
  • Deep understanding of quantum error correction and fault tolerance
  • Exceptional problem-solving skills with mathematical rigor

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Python C++ TensorFlow Qiskit Cloud Computing

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