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Quantum Computing Architect

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

Job Description

Join the frontier of technological revolution at Nexus Quantum Labs, where we're building the computational backbone for 2026. As our Quantum Computing Architect, you'll design next-gen quantum systems that redefine processing power for industries from AI to cryptography. We're seeking visionary pioneers to transform theoretical breakthroughs into scalable solutions that will shape humanity's digital future.

Our cutting-edge lab offers unparalleled resources and collaborative freedom to explore quantum supremacy, error correction, and hybrid quantum-classical architectures. If you're passionate about pushing beyond conventional computing limits, this is your chance to architect the impossible.

Responsibilities

  • Design scalable quantum computing architectures for industrial applications
  • Lead research into quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical algorithms for real-world deployment
  • Collaborate with AI teams to integrate quantum acceleration into machine learning pipelines
  • Drive patent development for proprietary quantum hardware innovations
  • Mentor junior researchers in quantum physics and computational theory
  • Present breakthrough findings at international quantum computing conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing research or development
  • Expertise in quantum algorithms, error correction, and qubit design
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in peer-reviewed quantum computing journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Hardware Design AI Integration Research Methodology Patent Development

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