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Quantum AI Architect 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum AI systems for 2026. We're seeking visionary Quantum AI Architects to design revolutionary neural networks that transcend classical computing boundaries. This role offers unparalleled opportunity to shape humanity's technological future while working with Nobel Prize-winning researchers and cutting-edge quantum hardware. Our dynamic startup environment combines academic rigor with Silicon Valley innovation, offering competitive equity packages and flexible hybrid work arrangements. If you're ready to build the impossible, apply now.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for 2026-era applications
  • Lead research on quantum neural networks and algorithm optimization
  • Collaborate with hardware teams to integrate quantum processors with AI frameworks
  • Develop security protocols for quantum-resistant machine learning systems
  • Mentor junior researchers in emerging quantum computing paradigms
  • Present breakthrough findings at international conferences and publish in top-tier journals
  • Secure research partnerships with leading quantum computing firms

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum machine learning algorithms and error correction
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Published research in quantum AI or top-tier conference proceedings
  • Experience with superconducting or photonic quantum hardware
  • Strong background in tensor networks and quantum information theory
  • Proven track record of leading technical research teams
  • Exceptional problem-solving skills for complex multi-variable systems

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit Cirq Tensor Networks Quantum Error Correction Superconducting Hardware Photonic Systems Research Leadership AI Security

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