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Quantum Computing Architect

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Solutions at the forefront of computational revolution. We're seeking a visionary Quantum Computing Architect to design and implement next-generation quantum systems that will redefine technology by 2026. This role offers the unique opportunity to work with Nobel Prize-winning researchers and deploy breakthrough solutions in cryptography, AI, and materials science.

Our San Francisco lab provides an unparalleled environment for innovation, equipped with state-of-the-art quantum processors and 24/7 access to our proprietary quantum cloud platform. You'll lead cross-disciplinary teams of physicists, engineers, and data scientists to transform theoretical quantum algorithms into practical applications.

Responsibilities

  • Design scalable quantum computing architectures for industrial and research applications
  • Develop error-correction protocols to achieve fault-tolerant quantum systems
  • Lead integration of quantum-classical hybrid computing workflows
  • Collaborate with hardware teams to optimize quantum processor performance
  • Create quantum algorithms for machine learning and optimization problems
  • Develop security frameworks for quantum-resistant cryptography
  • Mentor junior researchers and publish breakthrough findings

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing research or development
  • Expertise in quantum error correction and fault tolerance
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Strong background in quantum algorithms and complexity theory
  • Experience with high-performance computing and parallel systems
  • Proven track record of peer-reviewed publications in quantum computing

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Cryptography Machine Learning HPC

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