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Quantum AI Research Scientist

Nexus Quantum Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Systems at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that leverage quantum supremacy to transform industries from healthcare to climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your groundbreaking ideas become reality. We're seeking visionaries ready to shape the future of computational intelligence.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical neural networks for enhanced computational efficiency
  • Lead cross-functional teams in prototyping quantum AI solutions for Fortune 500 clients
  • Publish peer-reviewed research in top-tier quantum computing and AI journals
  • Optimize quantum circuits for NISQ-era hardware limitations
  • Collaborate with hardware engineers to co-design quantum processors
  • Secure $5M+ in government and private research grants

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in deep learning frameworks (TensorFlow/PyTorch)
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Ability to communicate complex quantum concepts to non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Quantum Algorithms Neural Networks Python TensorFlow PyTorch Research

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