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Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of human-machine intelligence at Nexus Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that leverage quantum phenomena to exponentially accelerate machine learning capabilities. Join our elite team of visionaries in redefining what's possible in computational intelligence.

This role offers unparalleled resources for experimentation, collaboration with Nobel laureates, and the opportunity to publish groundbreaking research in top-tier journals. We provide competitive compensation, flexible work arrangements, and a state-of-the-art laboratory environment where your ideas can become reality.

Responsibilities

  • Design and implement quantum neural network architectures for advanced AI applications
  • Develop hybrid quantum-classical algorithms to optimize machine learning pipelines
  • Lead experimental validation of quantum AI models on our 1000-qubit quantum processors
  • Collaborate with cross-functional teams to integrate quantum solutions into commercial products
  • Author peer-reviewed publications and patents in quantum machine learning
  • Mentor junior researchers and contribute to our open-source quantum AI framework
  • Stay at the forefront of quantum computing developments through continuous learning

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • Expertise in quantum algorithms and quantum information theory
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Strong background in machine learning and deep learning architectures
  • Publication record in quantum computing or AI research
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to translate complex theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Neural Networks Python Qiskit Cirq Tensorflow PyTorch High-Performance Computing

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