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Quantum Computing Architect

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computing. We're seeking visionary Quantum Computing Architects to design and implement scalable quantum solutions that will redefine industries by 2026. This is your opportunity to shape the future of artificial intelligence, cryptography, and computational modeling in a dynamic, innovation-driven environment.

As a key member of our Quantum Research Division, you'll collaborate with Nobel laureates, leading physicists, and elite software engineers to overcome quantum decoherence challenges and develop fault-tolerant quantum systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation and breakthrough development.

Responsibilities

  • Design and architect scalable quantum computing systems using superconducting qubits and photonic processors
  • Develop quantum algorithms for machine learning optimization and cryptographic applications
  • Lead integration of quantum-classical hybrid computing frameworks
  • Collaborate with hardware teams to mitigate quantum decoherence and error correction challenges
  • Create quantum simulation models for pharmaceutical discovery and materials science
  • Mentor junior quantum engineers and publish research in top-tier scientific journals
  • Ensure quantum system security protocols meet post-quantum cryptography standards

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum computing experience
  • Expertise in quantum circuit design and quantum algorithm development
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Published research in quantum computing or quantum information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Proven track record of leading cross-disciplinary quantum projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Quantum Error Correction Fault-Tolerant Systems Quantum Cryptography Superconducting Qubits Photonic Processors Machine Learning Post-Quantum Cryptography

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