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Quantum AI Research Scientist - 2026 Vision

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 220.000 – USD 380.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence 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 redefine computational boundaries in healthcare, climate modeling, and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.

This role is perfect for visionary researchers who thrive at the intersection of quantum mechanics, machine learning, and ethical AI development. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's mandated.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational paradigms
  • Lead breakthrough research in quantum neural networks and hybrid quantum-classical systems
  • Develop novel error correction techniques for scalable quantum processors
  • Collaborate with hardware teams to optimize quantum algorithms for next-generation quantum computers
  • Publish peer-reviewed research and present findings at top-tier conferences (NeurIPS, QIP, etc.)
  • Drive ethical AI frameworks for quantum-powered decision-making systems
  • Lead cross-functional projects translating quantum research into commercial applications

Qualifications

  • PhD in Quantum Computing, Machine Learning, Physics, or related field (or equivalent industry experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Expertise in advanced ML algorithms (transformers, GANs, reinforcement learning)
  • Published research in quantum machine learning or quantum information theory
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience with high-performance computing and parallel processing architectures
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Passion for solving grand challenges through quantum-AI convergence

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Reinforcement Learning Quantum Algorithms High-Performance Computing Linear Algebra Neural Networks

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