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Quantum Computing Architect

NexusTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join NexusTech Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco R&D hub.

Responsibilities

  • Design scalable quantum algorithms and error-correction frameworks for commercial applications
  • Lead cross-functional teams in developing quantum-classical hybrid architectures
  • Conduct advanced research on qubit stability and quantum supremacy challenges
  • Develop patentable quantum computing methodologies with 2026 deployment targets
  • Partner with Fortune 500 clients to implement quantum-optimized solutions
  • Mentor junior scientists in quantum information theory and experimental physics
  • Present breakthrough findings at premier industry conferences and academic journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 5+ years of hands-on quantum computing architecture or algorithm development
  • Published research in top-tier journals (Nature, Science, etc.) or equivalent industry impact
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record of designing quantum-classical hybrid systems
  • Deep understanding of quantum decoherence mitigation techniques
  • Strong background in machine learning and high-performance computing
  • Ability to translate complex quantum concepts into business value propositions

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Q# Machine Learning High-Performance Computing Quantum-Classical Hybrid Systems

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