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Quantum AI Research Engineer

Nexus Futura Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Futura Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Engineer to develop next-gen computational systems that will redefine industries. Our state-of-the-art facility in San Francisco's Innovation District offers unparalleled resources for breakthrough research. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges through quantum-AI fusion. This role offers competitive equity, flexible work arrangements, and the opportunity to shape tomorrow's technological landscape today.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for computational optimization
  • Lead research on quantum neural networks and machine learning applications
  • Develop error-correction protocols for large-scale quantum systems
  • Collaborate with hardware teams to integrate quantum processors with AI frameworks
  • Publish findings in peer-reviewed journals and present at global tech summits
  • Mentor junior researchers in quantum computing methodologies
  • Secure patents for proprietary quantum-AI innovations

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proven track record of publishing in Nature/Science/IEEE journals
  • Strong proficiency in Python, TensorFlow, and quantum assembly languages
  • Experience with D-Wave, IBM Quantum, or similar quantum hardware
  • Deep understanding of quantum entanglement and superposition principles
  • Ability to translate complex theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Python TensorFlow Qiskit Cirq Physics Neural Networks

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