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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
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine human-machine collaboration. Our state-of-the-art San Francisco campus offers unparalleled resources to transform theoretical concepts into real-world solutions. This is your opportunity to shape the future of quantum computing, artificial intelligence, and human augmentation technologies.

As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to develop next-generation quantum algorithms, neural interfaces, and autonomous AI systems. We offer competitive compensation, unlimited R&D budget, and flexible work arrangements designed for maximum innovation. If you're driven to solve humanity's greatest challenges through quantum computing, this is your calling.

Responsibilities

  • Design and implement quantum neural networks for AI acceleration
  • Develop novel quantum algorithms for complex optimization problems
  • Create hybrid quantum-classical machine learning frameworks
  • Lead research projects in quantum cryptography and secure AI
  • Collaborate on quantum hardware-software integration initiatives
  • Publish breakthrough research in top-tier scientific journals
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years of quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in machine learning and AI frameworks
  • Published research in quantum computing or AI
  • Experience with quantum hardware (IBM Quantum, Rigetti, etc.)
  • Deep understanding of quantum error correction techniques
  • Proven ability to lead complex research projects

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Q# Python Quantum Algorithms Neural Networks Cryptography Research Physics

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