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Quantum AI Research Scientist

Nexus Quantum Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join the quantum revolution at Nexus Quantum Systems, where we're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's grandest challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that leverage quantum superposition and entanglement to accelerate machine learning breakthroughs. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources to transform theoretical concepts into scalable quantum neural networks. Be part of the team that will redefine computational possibilities.

Responsibilities

  • Design and implement quantum algorithms for AI optimization problems
  • Develop hybrid quantum-classical machine learning frameworks
  • Lead research in quantum neural network architectures
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish breakthrough research in top-tier journals/conferences
  • Secure patents for novel quantum-AI methodologies
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Expertise in machine learning frameworks (PyTorch, TensorFlow)
  • Published research in quantum machine learning
  • Strong background in linear algebra and quantum mechanics
  • Experience with superconducting quantum processors
  • Excellent communication and presentation skills

Required Skills

Quantum Computing Machine Learning Q# Qiskit PyTorch TensorFlow Linear Algebra Quantum Mechanics Superconducting Processors

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