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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 140.000 – USD 200.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations. If you're passionate about shaping the future of technology, this is your opportunity to make history.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Develop novel hybrid quantum-classical models for optimization problems
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Published research in quantum algorithms or quantum machine learning
  • Expertise in high-performance computing and parallel processing
  • Demonstrated ability to translate complex theoretical concepts into practical solutions
  • Excellent communication skills with ability to articulate quantum concepts to diverse audiences

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Qiskit PyTorch High-Performance Computing

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