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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion to solve humanity's greatest challenges. Our cross-disciplinary team of visionaries is building the next generation of computational intelligence, and we need your expertise to push the boundaries of what's possible.

This isn't just a roleβ€”it's your chance to shape the future. You'll work in our state-of-the-art quantum lab, collaborate with Nobel laureates, and develop breakthrough algorithms that will redefine industries. We offer competitive equity packages, flexible work arrangements, and unlimited learning resources.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams to integrate quantum processors with AI frameworks
  • Develop error-correction protocols for quantum neural networks
  • Publish breakthrough research in top-tier scientific journals
  • Collaborate with hardware engineers to optimize quantum-AI hybrid systems
  • Translate theoretical models into scalable production solutions
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch) and classical AI optimization
  • Published research in quantum machine learning or related fields
  • Strong background in linear algebra, probability, and quantum mechanics
  • Experience with high-performance computing and distributed systems
  • Proven track record of leading complex technical projects

Required Skills

Quantum Computing Machine Learning Q# Qiskit TensorFlow PyTorch Quantum Algorithms AI Optimization High-Performance Computing

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