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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-resistant encryption and next-gen AI infrastructure, and we need visionary minds to architect the future. As a Quantum Computing Architect, you'll design scalable quantum systems that redefine computational boundaries while ensuring enterprise-grade security. This hybrid role combines deep technical expertise with strategic innovation in our state-of-the-art San Francisco lab. You'll collaborate with Nobel laureates and disrupt the status quo in cryptography, materials science, and machine learning. If you thrive at the intersection of theoretical physics and practical application, this is your chance to shape humanity's technological destiny.

Responsibilities

  • Design and implement quantum algorithms for cryptography and optimization problems
  • Develop error-corrected quantum processors with 99.9% fidelity
  • Architect hybrid quantum-classical computing frameworks
  • Lead research on topological qubits and fault-tolerant systems
  • Create quantum-resistant security protocols for global enterprises
  • Mentor a team of quantum physicists and software engineers
  • Publish breakthrough research in Nature/Science journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing or quantum algorithms
  • Expertise in Q#, Qiskit, or similar quantum programming frameworks
  • Proven track record of publishing peer-reviewed quantum research
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting or photonic quantum systems
  • Strong background in cryptography and cybersecurity principles

Required Skills

Quantum Computing Cryptography Machine Learning Qiskit Q# Fault Tolerance Superconducting Systems Algorithm Design Research

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