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Quantum AI Research Scientist 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of human-machine symbiosis. As a Quantum AI Research Scientist 2026, you'll architect breakthrough systems that redefine computational boundaries. Our interdisciplinary team operates at the convergence of quantum mechanics, artificial intelligence, and biotechnology to create solutions previously deemed impossible. This role offers unparalleled opportunity to shape humanity's technological trajectory while working alongside Nobel laureates and Turing Award recipients in our state-of-the-art San Francisco campus.

Responsibilities

  • Design and implement quantum neural networks for autonomous decision-making systems
  • Develop novel algorithms for real-time quantum machine learning optimization
  • Lead cross-functional teams in prototyping next-gen human-AI interfaces
  • Collaborate with neuroscientists to create brain-computing interfaces
  • Research quantum-resistant cryptography for 2026-era security protocols
  • Publish findings in leading journals and present at global tech conferences
  • Mentor junior researchers in emerging quantum computing paradigms

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Expertise in quantum circuit design and error correction methodologies
  • Proven track record publishing in Nature/Science journals or equivalent
  • Mastery of quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of tensor networks and quantum machine learning
  • Experience with neuromorphic computing and biologically-inspired AI
  • Strong background in theoretical physics and complex systems modeling

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Neural Networks Cryptography Theoretical Physics Python C++ Qiskit TensorFlow PyTorch

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