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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Infrastructure Engineer 2026

Nexus Technologies
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Technologies at the forefront of 2026's technological revolution as we pioneer quantum computing infrastructure. We seek a visionary Quantum Infrastructure Engineer to design, deploy, and optimize next-gen quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology while working in Austin's vibrant innovation ecosystem.

Responsibilities

  • Architect scalable quantum computing hardware networks using superconducting qubits and photonic systems
  • Develop cryogenic control systems with sub-millikelvin stability for quantum processors
  • Implement quantum error correction protocols for fault-tolerant operations
  • Design hybrid quantum-classical computing interfaces for enterprise applications
  • Lead security protocols for quantum-resistant cryptography systems
  • Collaborate with research teams on quantum machine learning algorithms
  • Optimize quantum annealing solutions for logistics and optimization challenges

Qualifications

  • PhD in Quantum Physics, Electrical Engineering, or equivalent with 5+ years industry experience
  • Expertise in quantum hardware design (superconducting circuits, ion traps, or photonic systems)
  • Proficiency in quantum programming languages (Q#, Qiskit, or Cirq) and simulation frameworks
  • Experience with cryogenic engineering and ultra-low temperature systems
  • Strong background in quantum error correction and fault-tolerant architectures
  • Demonstrated success in publishing quantum computing research in peer-reviewed journals
  • Knowledge of quantum security protocols and post-quantum cryptography standards

Required Skills

Quantum Computing Cryogenic Engineering Superconducting Qubits Quantum Error Correction Q# Qiskit Fault-Tolerant Systems Quantum Cryptography Machine Learning

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