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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications. Collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. This role offers equity, flexible work arrangements, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning models for complex optimization problems
  • Lead cross-functional teams in developing error-corrected quantum computing architectures
  • Publish breakthrough research in top-tier journals and present at global conferences
  • Translate theoretical quantum algorithms into scalable software prototypes
  • Secure $5M+ in government and industry research grants
  • Mentor PhD candidates and postdoctoral researchers
  • Partner with Fortune 100 companies to solve real-world quantum-AI challenges

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoctoral experience
  • Published research in Nature/Science or equivalent journals on quantum machine learning
  • Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Expertise in tensor networks and quantum error correction protocols
  • Track record of securing federal research grants (NSF/DOE)
  • Strong background in deep learning frameworks (PyTorch/TensorFlow)
  • Experience with superconducting quantum hardware (e.g., IBM Quantum, Rigetti)

Required Skills

Quantum Computing Machine Learning Python Qiskit Quantum Error Correction Deep Learning Research Grants Superconducting Hardware

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