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Quantum AI Research Scientist

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

Job Description

Shape the future at Nexus Quantum Labs, where we're pioneering the next wave of computational intelligence. We're seeking a visionary Quantum AI Research Scientist to develop hybrid quantum-classical systems that will revolutionize machine learning by 2026. Join our elite team of physicists, engineers, and AI experts in creating algorithms that solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling. This is your chance to work at the intersection of quantum mechanics and artificial intelligence in an environment that fosters groundbreaking innovation.

Responsibilities

  • Design and implement quantum algorithms for advanced AI applications
  • Develop hybrid quantum-classical neural networks for enhanced computational power
  • Collaborate with hardware teams to optimize quantum circuits for machine learning tasks
  • Lead research initiatives in quantum-enhanced deep learning and reinforcement learning
  • Publish findings in top-tier scientific journals and present at international conferences
  • Drive commercial applications of quantum AI in finance, healthcare, and logistics
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • Expertise in quantum algorithms and quantum machine learning frameworks
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
  • Experience with quantum simulators and cloud quantum computing platforms
  • Strong background in linear algebra, probability theory, and statistical modeling
  • Published research in quantum computing or AI (3+ peer-reviewed papers)
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python TensorFlow PyTorch Quantum Programming Neural Networks Linear Algebra Research

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