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Quantum AI Research Scientist

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join NexusLabs at the forefront of technological revolution as we pioneer the next generation of AI-quantum hybrid systems. As a Quantum AI Research Scientist, you'll design and implement cutting-edge algorithms that leverage quantum computing to solve previously unsolvable problems in machine learning, cryptography, and computational optimization.

This role offers unparalleled opportunities to collaborate with Nobel laureates and industry visionaries in our state-of-the-art research facility. You'll contribute to projects that will redefine technological boundaries and shape the digital landscape of 2026 and beyond.

Responsibilities

  • Develop novel quantum algorithms for AI model acceleration and optimization
  • Design hybrid quantum-classical neural network architectures
  • Lead research initiatives in quantum machine learning applications
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure and manage multi-million dollar research grants
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency in Python with deep learning libraries (TensorFlow/PyTorch)
  • Published research in quantum computing or AI at NeurIPS/ICML/QIP
  • Strong background in quantum error correction and fault tolerance
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
  • Ability to translate complex theoretical concepts into practical implementations

Required Skills

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

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