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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources for pushing the boundaries of what's possible in machine learning and quantum systems.

This role presents an exceptional opportunity to shape the future of technology while collaborating with Nobel laureates and industry pioneers. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity participation in our groundbreaking ventures.

Responsibilities

  • Design and implement quantum machine learning models for complex data analysis
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Develop novel error-correction protocols for quantum AI applications
  • Collaborate with hardware teams to optimize quantum algorithm performance
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Mentor junior researchers and contribute to patent development
  • Secure research funding through government and private sector partnerships

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in machine learning frameworks (TensorFlow, PyTorch)
  • Demonstrated publication record in quantum/AI research
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Expertise in high-performance computing environments
  • Excellent analytical and problem-solving abilities

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow Algorithm Design High-Performance Computing Research Methodology

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