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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution! We're seeking a visionary Quantum Computing Architect to design and implement next-generation quantum systems that will redefine computing by 2026. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy breakthrough solutions in cryptography, material science, and AI optimization.

Our state-of-the-art facility in San Francisco's Innovation District provides an environment where your expertise will directly shape humanity's technological future. We offer comprehensive benefits including equity, flexible work arrangements, and dedicated R&D budgets.

Responsibilities

  • Design scalable quantum computing architectures for enterprise applications
  • Lead cross-functional teams in developing quantum algorithms and error-correction protocols
  • Collaborate with hardware teams to optimize qubit coherence times and gate fidelities
  • Develop hybrid quantum-classical computing frameworks for real-world deployment
  • Create security frameworks for quantum-resistant cryptography systems
  • Present technical roadmaps to C-suite executives and venture capital partners

Qualifications

  • PhD in Physics, Computer Science, or related field with 5+ years quantum computing experience
  • Published research in quantum error correction or topological qubits
  • Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Experience with cryogenic systems and superconducting qubit manipulation
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Track record of delivering enterprise-grade quantum prototypes

Required Skills

Quantum Computing Qiskit Cirq Cryogenics Superconducting Qubits Quantum Error Correction Cryptography Hybrid Computing Machine Learning

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