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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Infrastructure Architect

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

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Infrastructure Architect to design next-generation systems that will redefine computational boundaries. This role combines cutting-edge quantum computing with advanced AI frameworks to solve humanity's most complex challenges. You'll lead the development of hybrid quantum-classical systems that power breakthrough applications in medicine, climate modeling, and autonomous systems. Our Austin hub features state-of-the-art labs and a collaborative culture where your ideas shape tomorrow's innovations.

Responsibilities

  • Design and implement scalable quantum AI infrastructure leveraging 100+ qubit systems
  • Develop hybrid quantum-classical algorithms for machine learning optimization
  • Lead cross-functional teams in deploying fault-tolerant quantum networks
  • Create security protocols for quantum-resistant cryptography systems
  • Architect cloud-native quantum computing platforms with 99.999% uptime
  • Drive R&D initiatives for quantum neural network applications
  • Optimize quantum resource allocation for enterprise-scale workloads

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
  • 5+ years designing large-scale distributed systems with ML/AI components
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proficiency in cloud architectures (AWS/Azure/GCP quantum services)
  • Published research in quantum machine learning or quantum algorithms
  • Strong background in error correction and fault-tolerant quantum systems
  • Experience with hardware-software co-design for quantum processors

Required Skills

Quantum Computing Machine Learning Cloud Architecture Fault-Tolerant Systems Qiskit Q# Quantum Cryptography Distributed Systems

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