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Quantum AI Research Engineer (2026 Vision)

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the forefront of technological revolution at Nexus Quantum Labs, where we're engineering the quantum-AI frontier for 2026 and beyond. We seek a visionary Quantum AI Research Engineer to pioneer breakthroughs in quantum machine learning, neural networks, and computational optimization. This role combines quantum physics, artificial intelligence, and next-generation computing to solve humanity's most complex challenges.

Our multidisciplinary team operates at the intersection of quantum theory and practical AI implementation. You'll collaborate with Nobel laureates, AI pioneers, and quantum hardware specialists in an environment that values audacious innovation. We offer competitive compensation, unlimited R&D resources, and the opportunity to shape the technological landscape of the next decade.

Responsibilities

  • Design and implement quantum neural networks for exponential acceleration of machine learning algorithms
  • Develop novel quantum-AI hybrid architectures for real-time optimization of complex systems
  • Lead research in quantum-enhanced natural language processing and generative models
  • Create quantum-resistant AI security protocols for 2026-era digital infrastructure
  • Collaborate with quantum hardware teams to bridge theoretical models with practical implementations
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers in quantum-AI methodologies and best practices

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (MS with exceptional experience considered)
  • Expertise in quantum algorithms, quantum gates, and quantum error correction
  • Proficiency in Python, C++, and quantum frameworks (Qiskit, Cirq, PennyLane)
  • Deep understanding of transformer architectures and large language model optimization
  • Published research in quantum machine learning or AI (arXiv papers or peer-reviewed journals)
  • Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
  • Strong analytical skills and ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms AI Research Neural Networks Quantum Hardware

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