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Research & Development 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

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

Job Description

Shape the future of technology as a Quantum AI Systems Architect at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. Join our elite team at the forefront of computational revolution.

As a key innovator, you'll architect hybrid quantum-classical systems that push the boundaries of machine learning and optimization. Our state-of-the-art quantum lab in San Francisco offers unparalleled resources for breakthrough research. You'll collaborate with Nobel laureates and industry disruptors to develop algorithms that will redefine computing paradigms.

This role offers competitive equity packages, flexible work arrangements, and dedicated R&D budget for your experimental projects. Help us build the quantum-powered future.

Responsibilities

  • Design and implement hybrid quantum-classical AI frameworks for enterprise applications
  • Develop error-corrected quantum algorithms for machine learning optimization
  • Architect scalable quantum neural networks with 100+ qubit coherence
  • Lead cross-functional teams in translating theoretical models to practical implementations
  • Research and integrate emerging quantum hardware technologies (superconducting, photonic)
  • Publish breakthrough findings in Nature/Science journals and industry whitepapers
  • Mentor junior quantum engineers in advanced algorithm development

Qualifications

  • PhD in Quantum Computing, AI Systems, or Computational Physics (or equivalent experience)
  • Expertise in quantum machine learning frameworks (Qiskit, PennyLane, Cirq)
  • Proficiency in Python, C++, and quantum circuit design
  • Published research in quantum algorithms or AI optimization
  • Experience with quantum error correction protocols (surface, LDPC codes)
  • Demonstrated ability to lead complex technical projects
  • Strong background in linear algebra, probability, and information theory

Required Skills

Quantum Computing Machine Learning AI Systems Architecture Quantum Algorithms Error Correction Python C++ Qiskit PennyLane Research Leadership

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