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Quantum Computing Architect

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join the quantum revolution at Nexus Quantum Solutions, where we're engineering tomorrow's breakthroughs today. We're seeking a visionary Quantum Computing Architect to design next-gen computational systems that will redefine industries by 2026. This is your chance to shape the future of technology in our state-of-the-art San Francisco lab.

About Nexus Quantum Solutions: We're a pioneering force in quantum innovation, developing scalable quantum processors and hybrid quantum-classical systems. Our team of world-class physicists and engineers work at the intersection of quantum mechanics, AI, and materials science to solve previously impossible problems.

The Role: As our Quantum Computing Architect, you'll lead the design and implementation of fault-tolerant quantum systems. You'll collaborate with cross-disciplinary teams to translate theoretical quantum algorithms into practical applications, pushing the boundaries of computational possibility.

Responsibilities

  • Design and develop quantum algorithms for optimization, simulation, and machine learning applications
  • Architect scalable quantum processors and hybrid quantum-classical systems
  • Lead error correction and fault-tolerance implementation strategies
  • Collaborate with materials science team on quantum hardware innovation
  • Develop quantum software frameworks and integration protocols
  • Present architectural blueprints to C-suite executives and research partners
  • Mentor junior quantum engineers and drive technical roadmap development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 5+ years experience)
  • Expertise in quantum circuit design and quantum algorithm development
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in quantum error correction and fault-tolerance
  • Experience with machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum computing or related fields
  • Proven ability to lead complex technical projects from concept to deployment

Required Skills

Quantum Computing Quantum Algorithms Quantum Circuit Design Error Correction Fault-Tolerance Qiskit Cirq Machine Learning TensorFlow PyTorch Quantum Hardware

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