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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in computational intelligence. You'll collaborate with Nobel laureates and industry disruptors to develop next-gen quantum algorithms that redefine machine learning paradigms. Our state-of-the-art lab offers unparalleled resources for pushing the boundaries of what's computationally possible.

This role combines theoretical innovation with real-world impact, enabling solutions to humanity's most complex challenges. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for large-scale data processing
  • Lead cross-functional teams to prototype quantum-optimized neural networks
  • Publish groundbreaking research in top-tier journals and industry conferences
  • Collaborate with hardware engineers to develop quantum-classical hybrid systems
  • Secure research grants and patents for proprietary quantum AI methodologies
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field (or equivalent research experience)
  • 5+ years in quantum algorithm development or advanced AI research
  • Published work in Nature/Science or top-tier ML conferences
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in deep learning frameworks (PyTorch/TensorFlow)
  • Proven ability to translate theoretical concepts into practical implementations
  • Experience securing federal research grants or corporate R&D funding

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit PyTorch Algorithm Design Research Methodology

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