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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Shape the future at NexusLabs 2026, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational intelligence and seeking a visionary Quantum AI Research Scientist to lead breakthrough research in quantum machine learning algorithms. Join our elite team of physicists, computer scientists, and AI researchers to develop revolutionary solutions that will redefine technological boundaries.

As a cornerstone of our 2026 Innovation Initiative, you'll work in a state-of-the-art laboratory environment with access to quantum hardware and cutting-edge AI frameworks. Our collaborative culture encourages bold thinking and rapid prototyping, with dedicated resources for patent development and academic publication. We offer competitive equity packages, unlimited PTO, and comprehensive wellness benefits designed for the modern innovator.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex data analysis
  • Lead cross-functional R&D projects integrating quantum computing with deep neural networks
  • Develop proprietary quantum error correction protocols for AI system optimization
  • Collaborate with hardware engineering teams to co-design quantum-AI hybrid systems
  • Author breakthrough research papers for top-tier AI and quantum computing journals
  • Translate theoretical quantum algorithms into practical AI applications for enterprise clients
  • Mentor junior researchers and contribute to our quantum-AI open-source initiatives

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) with quantum extensions
  • Publication record in top-tier AI/quantum computing conferences (NeurIPS, QIP)
  • Demonstrated ability to bridge theoretical quantum physics with practical AI implementation
  • Strong background in high-performance computing and distributed systems
  • Experience securing federal research grants in quantum information science

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Deep Learning Python C++ Qiskit TensorFlow PyTorch

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