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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum Computing Architect

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution. As a 2026 Quantum Computing Architect, you'll design and implement next-generation quantum systems that redefine computational boundaries. We're seeking visionary pioneers to build the infrastructure for tomorrow's digital revolution.

Our Austin hub offers state-of-the-art laboratories and collaborative spaces where you'll work alongside Nobel laureates and industry disruptors. This role offers unparalleled opportunities to shape quantum algorithms, optimize qubit stability, and pioneer error-correction protocols that will power the next decade of breakthrough innovations.

Responsibilities

  • Design scalable quantum computing architectures for enterprise and research applications
  • Develop novel quantum algorithms to solve complex optimization problems
  • Lead qubit stabilization and error-correction protocol implementation
  • Collaborate with hardware teams to integrate quantum-classical hybrid systems
  • Drive research in topological quantum computing and fault-tolerant designs
  • Mentor junior quantum engineers and publish breakthrough research
  • Secure $10M+ in quantum computing research grants

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum algorithm development
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Published research in top-tier quantum computing journals
  • Proficiency in cryogenic engineering and superconducting systems
  • Demonstrated success in quantum error-correction implementation
  • Strong background in machine learning for quantum applications
  • Experience securing federal quantum research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryogenic Engineering Superconducting Systems Error Correction Topological Computing Machine Learning Research Funding

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