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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Systems Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries, and we need visionary minds to architect the future. As a Quantum Systems Architect, you'll design next-gen quantum neural networks while collaborating with Nobel laureates and industry pioneers in our state-of-the-art facility.

This role offers unparalleled opportunities to shape humanity's technological trajectory with competitive equity, flexible work arrangements, and access to breakthrough R&D. If you're ready to build what's next, apply now.

Responsibilities

  • Design scalable quantum neural networks for real-world enterprise applications
  • Architect hybrid quantum-classical computing infrastructures
  • Lead cross-functional teams in developing quantum-secure blockchain protocols
  • Optimize quantum algorithms for fault-tolerant quantum processors
  • Research and implement quantum error correction techniques
  • Develop quantum machine learning frameworks for predictive analytics
  • Collaborate with hardware teams on quantum processor co-design

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum systems architecture
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum machine learning or quantum error correction
  • Strong background in distributed systems and high-performance computing
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
  • Certification in Quantum Computing from accredited institutions

Required Skills

Quantum Computing Neural Networks Quantum Machine Learning Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Blockchain Security High-Performance Computing

Ready to Take This Challenge?

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