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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering the quantum revolution of 2026 and seek a visionary Quantum Computing Architect to design next-generation computational frameworks. You'll lead the development of fault-tolerant quantum systems that will redefine industries from pharmaceuticals to cryptography. Collaborate with Nobel laureates in our state-of-the-art Silicon Valley lab where theoretical physics meets practical application. This role offers unparalleled opportunities to shape the computational landscape of tomorrow while enjoying competitive benefits including equity, unlimited PTO, and cutting-edge professional development.

Responsibilities

  • Design scalable quantum algorithms for real-world enterprise applications
  • Architect hybrid quantum-classical computing systems with 99.99% reliability
  • Lead cross-functional teams of physicists and software engineers
  • Optimize qubit coherence times and error correction protocols
  • Develop quantum machine learning frameworks for predictive analytics
  • Collaborate with Fortune 500 clients on quantum adoption roadmaps
  • Publish breakthrough research in peer-reviewed quantum journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum algorithm development
  • Expertise in Qiskit, Cirq, or similar quantum programming frameworks
  • Proven track record of publishing in Nature/Science journals
  • Deep understanding of quantum error correction and fault tolerance
  • Experience leading technical teams of 10+ engineers
  • Strong background in linear algebra and quantum information theory
  • US citizenship required for government clearance projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning Linear Algebra Fault-Tolerant Systems

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