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Quantum Computing Architect 2026

Nexus Quantum Labs
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 Labs at the forefront of technological evolution as we pioneer the next frontier of computational power. We seek a visionary Quantum Computing Architect to design and implement next-generation quantum systems that will redefine industries by 2026. This role demands an innovator who thrives at the intersection of theoretical physics and scalable engineering.

As a key member of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to transform quantum theory into tangible solutions. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research.

Responsibilities

  • Design fault-tolerant quantum architectures for enterprise-scale applications
  • Develop hybrid quantum-classical computing frameworks
  • Lead quantum algorithm optimization for real-world problem-solving
  • Collaborate with hardware teams to advance qubit stability and scalability
  • Create quantum security protocols for 2026-era data protection
  • Present quantum roadmaps to C-suite executives and venture partners
  • Mentor junior quantum engineers in emerging technologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing research or development
  • Published work in top-tier quantum journals (Nature, Science, etc.)
  • Proficiency with quantum programming frameworks (Qiskit, Cirq)
  • Deep understanding of quantum error correction techniques
  • Experience with cryogenic quantum systems and superconducting qubits
  • Proven ability to translate theoretical concepts into practical implementations
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Qubits Quantum Error Correction Qiskit Cirq Theoretical Physics Machine Learning

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