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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the next generation of quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms that redefine computation. Our state-of-the-art lab features cryogenic quantum processors and neural-synaptic interfaces. Benefit from unlimited research budgets, flexible work arrangements, and equity in a company valued at $2B+. Help shape the future by 2026.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams to integrate quantum processors with classical AI frameworks
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Publish peer-reviewed research in top-tier journals and present at global tech conferences
  • Secure $5M+ in government/private research grants for quantum-AI initiatives
  • Mentor PhD candidates and postdoctoral researchers in quantum complexity theory
  • Collaborate with ethics committees to ensure responsible quantum AI deployment

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development using Qiskit/Cirq
  • Expertise in tensor networks and quantum machine learning architectures
  • Published research in Nature/Science or equivalent tier journals
  • Proficiency in Python, TensorFlow, and quantum circuit optimization
  • Experience securing DoE/NASA grants for quantum research
  • Deep understanding of quantum decoherence mitigation strategies
  • Portfolio demonstrating scalable quantum-AI prototypes

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow Quantum Error Correction Tensor Networks Python Theoretical Physics Research Grants

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