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Quantum AI Researcher 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Researcher to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape tomorrow's computational paradigms while working in our state-of-the-art facility in San Francisco's Innovation District.

This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers. You'll develop novel algorithms, optimize quantum machine learning models, and publish groundbreaking research that will define the next decade of technological advancement.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Conduct cutting-edge research in quantum neural networks and quantum optimization
  • Collaborate with hardware teams to co-design quantum processors for AI workloads
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Develop patents for proprietary quantum AI methodologies and architectures
  • Mentor junior researchers and establish quantum AI research protocols

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 3+ years of experience with quantum programming (Q#, Qiskit, or Cirq)
  • Publication record in top-tier quantum computing or AI conferences
  • Expertise in tensor networks and quantum simulation techniques
  • Deep understanding of quantum error correction and fault tolerance
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to translate complex theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Qiskit Q# Tensor Networks Quantum Error Correction Python TensorFlow High-Performance Computing

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