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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 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 design next-gen algorithms that leverage quantum supremacy, pushing the boundaries of computational possibility. Our state-of-the-art lab offers unparalleled resources to transform theoretical breakthroughs into real-world applications in cryptography, drug discovery, and climate modeling. This is your chance to shape the future of technology in an environment that values innovation, collaboration, and intellectual curiosity.

Responsibilities

  • Develop novel quantum machine learning algorithms for 2026-era computational challenges
  • Design and execute quantum circuit simulations on hybrid quantum-classical systems
  • Lead cross-functional teams to integrate quantum solutions with AI frameworks
  • Publish groundbreaking research in top-tier quantum computing journals
  • Collaborate with hardware engineers to optimize quantum error correction protocols
  • Secure patents for quantum AI methodologies and applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development using frameworks like Qiskit or Cirq
  • Expertise in quantum machine learning and tensor network simulations
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong publication record in quantum computing or AI research
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Quantum Algorithms High-Performance Computing

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