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2026 Quantum AI Architect

Nexus Frontier Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Frontier Labs at the vanguard of technological evolution as we pioneer the quantum-AI frontier of 2026. We're seeking a visionary Quantum AI Architect to architect hybrid systems that transcend classical computing paradigms. This role demands a blend of deep technical expertise and strategic foresight to design solutions that will redefine industries within the next 24 months. You'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into commercial reality.

Why Nexus Frontier Labs? We offer a $50M R&D budget, access to quantum annealing hardware, and equity participation in our spin-off ventures. Our 'Future-Ready' benefits include unlimited learning stipends, sabbaticals for breakthrough research, and relocation to our Palo Alto innovation campus.

Responsibilities

  • Architect quantum-AI hybrid systems leveraging 100+ qubit processors for exponential computational advantage
  • Develop error-correction protocols to achieve fault-tolerant quantum operations by Q1 2026
  • Lead cross-disciplinary teams of quantum physicists, machine learning engineers, and domain specialists
  • Translate complex quantum algorithms into scalable commercial applications for finance, healthcare, and logistics
  • Establish patent strategies protecting quantum-AI innovations with 15+ annual filings
  • Present breakthroughs at Davos, IEEE Quantum Week, and Nature journals
  • Mentor next-generation quantum researchers through our 'Quantum Leap' fellowship program

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics from top-tier institution (MIT, Stanford, ETH Zurich)
  • 5+ years hands-on experience with quantum programming languages (Qiskit, Cirq) and NISQ hardware
  • Published research in Nature/Science on quantum algorithms or error correction
  • Proven track record of deploying production quantum-AI systems (e.g., quantum neural networks)
  • Expertise in tensor networks, variational quantum eigensolvers (VQE), and quantum supremacy demonstrations
  • Strong understanding of quantum-safe cryptography and post-quantum standardization efforts
  • Portfolio showcasing quantum-AI projects with measurable business impact (e.g., 100x speedup optimizations)

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Tensor Networks Quantum Error Correction Variational Algorithms NISQ Hardware Post-Quantum Cryptography

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