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Quantum AI Researcher

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Researcher, you'll develop next-gen algorithms that merge quantum mechanics with artificial intelligence, solving previously impossible computational challenges. Our state-of-the-art lab offers unparalleled resources to transform theoretical breakthroughs into real-world applications.

We offer competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge quantum hardware. Be part of the team shaping humanity's technological future.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex optimization problems
  • Collaborate with cross-disciplinary teams to prototype hybrid quantum-classical AI systems
  • Lead research on quantum neural networks and quantum-enhanced deep learning architectures
  • Develop error-correction protocols for quantum computing operations
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in machine learning and AI model development
  • Published record in quantum computing or AI research (arXiv, Nature, IEEE)
  • Experience with high-performance computing clusters and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Qiskit Cirq Python High-Performance Computing

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