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Research and Development 🏢 Full Time ⭐️ Verified

Quantum AI Researcher 2026

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Solutions at the forefront of technological innovation as we pioneer the next wave of AI-quantum fusion. We're seeking a visionary Quantum AI Researcher to architect hybrid systems that will redefine computational boundaries by 2026. This role offers unparalleled opportunity to shape the future of machine learning, cryptography, and autonomous systems.

Our multidisciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and materials science. You'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum neural networks and real-time quantum machine learning frameworks. The position includes dedicated lab time, research budget, and patent support for breakthrough innovations.

We offer competitive equity packages, flexible remote work options, and comprehensive benefits including cutting-edge hardware access and conference travel. If you're passionate about solving humanity's most complex problems through quantum-AI synergy, this is your moment.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for optimization problems
  • Lead research in quantum neural networks and quantum machine learning frameworks
  • Develop error mitigation techniques for large-scale quantum computing systems
  • Collaborate with hardware teams to co-design quantum-AI accelerator architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Contribute to open-source quantum-AI frameworks and tools

Qualifications

  • PhD in Quantum Computing, AI, Physics, or related field (or equivalent experience)
  • Expertise in quantum algorithms and quantum machine learning frameworks
  • Proficiency in Python, Q#, and quantum simulation tools (Qiskit, Cirq)
  • Published research in quantum computing or AI (arXiv, Nature, etc.)
  • Experience with hybrid quantum-classical computing architectures
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

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

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