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Quantum AI Research Engineer

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

Job Description

Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Engineer to architect breakthrough solutions that will redefine computing paradigms by 2026. In this role, you'll develop hybrid quantum-classical algorithms, optimize neural networks for quantum processors, and contribute to patent-pending innovations that solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources, including 100+ qubit quantum processors and a multidisciplinary team of Nobel laureates and Turing Award winners. This isn't just a jobβ€”it's your chance to shape the future of computation.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization and pattern recognition tasks
  • Develop hybrid quantum-classical neural network architectures leveraging quantum advantage
  • Conduct high-performance simulations of quantum systems using IBM Quantum, Rigetti, and D-Wave platforms
  • Collaborate with theoretical physicists to translate quantum phenomena into practical AI applications
  • Lead open-source contributions to quantum AI frameworks like Qiskit Machine Learning and PennyLane
  • Present research findings at premier conferences (QIP, NeurIPS, CVPR) and publish in Nature/Science journals
  • Mentor junior researchers and drive quantum literacy initiatives across the organization

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent industry experience)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
  • Proven track record in implementing quantum algorithms for real-world problems
  • Strong foundation in linear algebra, probability theory, and quantum information theory
  • Proficiency in Python/C++ with frameworks like TensorFlow, PyTorch, or JAX
  • Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum, Google Quantum AI)
  • Published research in quantum machine learning or quantum algorithms
  • Ability to translate complex quantum concepts for interdisciplinary teams

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Q# Quantum Algorithms Neural Networks Linear Algebra Cloud Computing Research

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