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Quantum Computing Architect - 2026 Visionary

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we engineer the quantum computing landscape for 2026. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will revolutionize industries worldwide. This role offers unparalleled opportunity to shape humanity's digital future while working with Nobel Prize-winning researchers and deploying solutions that impact global supply chains, drug discovery, and AI development. Our state-of-the-art facility in downtown San Francisco features a 128-qubit quantum processor and collaborative innovation labs.

Responsibilities

  • Design and implement scalable quantum computing architectures for 2026-era applications
  • Lead cross-disciplinary teams to develop quantum algorithms for optimization and simulation
  • Research and integrate emerging quantum technologies (topological qubits, photonic processors)
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to hybridize quantum-classical computing workflows
  • Present breakthrough findings at industry conferences and peer-reviewed journals
  • Secure patents for novel quantum hardware-software interfaces

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with 8+ years experience)
  • Expertise in quantum circuit design and quantum machine learning frameworks
  • Proficiency in Qiskit, Cirq, and quantum annealing platforms
  • Published research in Nature/Science journals or equivalent
  • Experience with cryogenic quantum systems and microwave control engineering
  • Deep understanding of quantum error correction and fault tolerance
  • Track record of leading quantum computing projects from concept to deployment

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryogenic Systems Quantum Error Correction Machine Learning Superconducting Qubits Photonic Processors

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