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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing, cryptography, and machine learning. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms for our next-gen quantum processors. This role offers unparalleled access to cutting-edge hardware and a culture where curiosity fuels innovation.

Why Nexus Quantum Labs? Our state-of-the-art facility in San Francisco's Tech Quarter houses the world's most advanced quantum annealers, and our equity package includes stock options in our upcoming IPO. We offer flexible work arrangements, wellness stipends, and dedicated R&D budgets for your experimental projects.

Responsibilities

  • Design and implement quantum algorithms leveraging AI optimization techniques
  • Lead cross-functional teams in developing hybrid quantum-classical machine learning models
  • Conduct experimental validation on 1000+ qubit quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware engineers to optimize quantum error correction protocols
  • Secure patents for novel quantum-AI methodologies
  • Mentor junior researchers and contribute to technical documentation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum machine learning principles
  • Published research in quantum computing or AI (Nature/Science-level preferred)
  • Experience with high-performance computing environments
  • Strong analytical skills with ability to debug complex quantum systems
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Qiskit Cirq AI Optimization Cryptography High-Performance Computing

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