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Quantum AI Systems Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Systems Architect, you'll design and implement next-generation neural networks operating on quantum processors, solving humanity's most complex challenges from climate modeling to personalized medicine. Our state-of-the-art lab features 128-qubit processors and collaborative spaces where interdisciplinary teams push boundaries daily.

We offer competitive equity packages, flexible work arrangements, and opportunities to publish breakthrough research in Nature and Science. Be part of the team shaping 2026's technological landscape.

Responsibilities

  • Design quantum-AI hybrid architectures for enterprise-scale applications
  • Develop error-corrected quantum machine learning algorithms
  • Lead cross-functional teams in prototyping quantum neural networks
  • Optimize quantum circuits for real-time AI inference
  • Collaborate with hardware teams to co-design quantum processors
  • Translate theoretical models into production-ready quantum software
  • Present research findings at IEEE Quantum Computing conferences

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (MS with 5+ years experience)
  • Expertise in quantum circuit design and error correction protocols
  • Proficiency in Python, Qiskit, and quantum machine learning frameworks
  • Published research in quantum computing or AI (arXiv/peer-reviewed)
  • Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
  • Strong background in tensor networks and quantum information theory
  • Ability to communicate complex quantum concepts to non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Qiskit Python Quantum Error Correction Neural Networks IBM Quantum AWS Braket

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