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Quantum Systems Architect 2026

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum Solutions as we pioneer the next frontier of computational excellence. As a Quantum Systems Architect for our 2026 initiative, you'll design and implement quantum-resistant infrastructure that will redefine global security paradigms. This role offers unparalleled opportunities to shape the future of cryptography while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.

We're seeking visionaries who thrive at the intersection of theoretical physics and practical engineering. Your work will directly impact Fortune 500 clients transitioning to post-quantum cryptographic standards, with opportunities to publish groundbreaking research in Nature Physics.

Responsibilities

  • Architect quantum-safe cryptographic systems for enterprise-scale deployments
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Design fault-tolerant quantum error correction protocols for real-world applications
  • Collaborate with MIT and Caltech on quantum hardware optimization projects
  • Develop patent-pending quantum key distribution (QKD) networks
  • Present quarterly breakthroughs to the Global Quantum Security Council

Qualifications

  • PhD in Quantum Computing, Cryptography, or related field (MS with 8+ years experience considered)
  • Expertise in quantum algorithm design and complexity theory
  • Proficiency with Qiskit, Cirq, or quantum simulation frameworks
  • Published research in quantum error correction or post-quantum cryptography
  • Experience with NIST PQC standardization process
  • Security clearance eligibility (Top Secret preferred)
  • Fluency in quantum machine learning frameworks

Required Skills

Quantum Computing Cryptography Qiskit Cirq Quantum Error Correction Post-Quantum Cryptography Machine Learning NIST PQC Quantum Machine Learning

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