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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing solutions that will redefine global industries. We're seeking visionary Quantum Computing Architects to design next-gen quantum systems that solve previously unsolvable problems. You'll work in our state-of-the-art facility collaborating with Nobel laureates and industry pioneers to transform theoretical quantum mechanics into scalable commercial applications. This role offers unparalleled opportunities to shape humanity's technological future while enjoying competitive compensation, flexible work arrangements, and comprehensive benefits.

Responsibilities

  • Design and implement scalable quantum computing architectures for enterprise clients
  • Lead R&D initiatives to overcome quantum decoherence and error correction challenges
  • Develop hybrid quantum-classical algorithms for real-world applications
  • Collaborate with hardware teams to optimize quantum processor integration
  • Present quantum computing roadmaps to C-suite executives and investors
  • Mentor junior quantum engineers and publish breakthrough research

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum error correction
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum computing or related fields
  • Experience with superconducting qubits or topological quantum systems
  • Strong background in machine learning and high-performance computing
  • Ability to translate complex quantum concepts for non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Superconducting Qubits Error Correction Machine Learning High-Performance Computing

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