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Quantum AI Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Architect to design and implement next-generation systems that will redefine computing by 2026. This role combines cutting-edge quantum mechanics with artificial intelligence to solve humanity's most complex challenges. You'll lead a multidisciplinary team of physicists, machine learning engineers, and software developers to build scalable quantum neural networks.

Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and innovation. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated research time. This is more than a job – it's your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design quantum neural network architectures for complex problem-solving
  • Develop hybrid quantum-classical machine learning pipelines
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor interfaces
  • Drive innovation in quantum cryptography and secure AI systems
  • Mentor junior researchers and publish findings in peer-reviewed journals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
  • 3+ years of hands-on quantum algorithm development
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum AI or related fields
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Ability to translate complex quantum concepts for technical and non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit Cirq TensorFlow Cryptography Research Leadership

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