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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum-AI convergence! We're pioneering next-generation solutions that will redefine computing in 2026 and beyond. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that bridge quantum computing and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations can transform industries.

We value curiosity, creativity, and bold thinking. If you're passionate about pushing the boundaries of quantum machine learning and want to contribute to technologies that will shape the future, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning applications
  • Develop hybrid quantum-classical neural network architectures
  • Conduct experimental research on quantum hardware acceleration for AI workloads
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in leading scientific journals and conferences
  • Secure research grants and patents for breakthrough innovations
  • Mentor junior researchers and contribute to technical roadmap planning

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field (or equivalent research experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, etc.)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Published research in quantum machine learning or adjacent fields
  • Proficiency in high-performance computing environments
  • Demonstrated ability to lead complex research projects
  • Experience with cloud-based quantum computing platforms
  • Passion for ethical AI development and quantum security principles

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow PyTorch Research AI Ethics

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