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Quantum AI Research Engineer

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computation by 2026. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling. Our state-of-the-art labs in San Francisco offer unparalleled resources to transform theoretical physics into practical solutions. If you're passionate about building the computational infrastructure for tomorrow's world, this is your calling.

Responsibilities

  • Design and implement quantum algorithms integrated with neural networks
  • Develop error-correction protocols for quantum-AI hybrid systems
  • Lead cross-functional teams in prototyping next-gen quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with government agencies on quantum security frameworks
  • Optimize quantum machine learning models for real-world applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience in quantum computing or advanced AI research
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Publication record in quantum/AI research venues
  • Expertise in high-performance computing environments
  • Strong background in machine learning frameworks (PyTorch/TensorFlow)

Required Skills

Quantum Computing Machine Learning Python Q# Cirq Quantum Algorithms High-Performance Computing Neural Networks

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