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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll design next-generation algorithms that leverage quantum mechanics to accelerate machine learning and computational optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your breakthroughs will shape the future.

We provide competitive compensation, comprehensive benefits, and the opportunity to work alongside Nobel laureates and industry pioneers. If you're passionate about pushing the boundaries of what's possible in quantum AI, this is your moment.

Responsibilities

  • Develop novel quantum algorithms for machine learning optimization
  • Design and execute quantum circuit simulations on real quantum hardware
  • Lead cross-functional teams in quantum-AI integration projects
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with government agencies on national quantum security initiatives
  • Mentor junior researchers and PhD candidates
  • Secure patents for proprietary quantum-AI methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Strong publication record in quantum machine learning
  • Expertise in quantum error correction techniques
  • Deep understanding of tensor networks and quantum neural networks
  • Experience with high-performance computing clusters
  • Ability to secure DOE/NIST quantum research funding

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Qiskit Cirq Tensor Networks Quantum Error Correction High-Performance Computing

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