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Quantum AI Research Scientist 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the future at Nexus Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. Join our elite team of researchers to develop next-gen AI systems that will redefine technological boundaries by 2026. We offer unparalleled resources, collaborative freedom, and a culture that celebrates bold innovation.

Located in San Francisco's tech heart, our state-of-the-art facility provides direct access to quantum hardware and AI supercomputing infrastructure. You'll work alongside Nobel laureates and industry pioneers while contributing to projects that will solve humanity's grandest challenges.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for 2026-era applications
  • Lead breakthrough research in quantum neural networks and hybrid AI systems
  • Collaborate with hardware teams to optimize quantum-AI integration protocols
  • Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
  • Develop patentable methodologies for quantum error correction in AI training
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Present findings at global tech conferences and industry summits

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • Expertise in quantum algorithms and quantum machine learning frameworks
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in AI/ML with 3+ years of research experience
  • Published record in quantum computing or AI research
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Passion for ethical AI development and quantum democratization
  • Experience with high-performance computing environments

Required Skills

quantum computing AI/ML quantum algorithms Q# Qiskit Cirq machine learning research innovation

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