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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
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We're seeking a visionary Quantum Computing Architect to design next-gen quantum algorithms and hybrid systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and lead cross-disciplinary teams to transform theoretical physics into practical applications.

This role offers unparalleled opportunity to shape humanity's technological future while working in our state-of-the-art facility overlooking the San Francisco Bay. We provide comprehensive benefits including equity, unlimited PTO, and dedicated research funding.

Responsibilities

  • Design and implement scalable quantum algorithms for optimization and machine learning applications
  • Lead development of quantum-classical hybrid computing frameworks
  • Collaborate with physicists to translate theoretical quantum models into functional architectures
  • Establish quantum security protocols for next-gen cryptographic systems
  • Mentor junior researchers and publish breakthrough findings in top-tier journals
  • Drive quantum computing roadmap alignment with 2026 technological milestones

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years in quantum algorithm design or quantum hardware development
  • Expertise in quantum programming languages (Qiskit, Cirq, or Quipper)
  • Published research in quantum computing or quantum information theory
  • Strong background in error correction and fault-tolerant quantum systems
  • Experience with superconducting or trapped-ion quantum processors
  • Proven track record of leading complex technical projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cryptography Machine Learning Theoretical Physics Superconducting Processors Error Correction

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