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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Systems Architect to design and implement next-generation computational frameworks that will redefine industries. This hybrid role combines quantum computing expertise with machine learning innovation to solve humanity's most complex challenges. You'll lead a cross-disciplinary team of physicists, engineers, and data scientists in creating scalable solutions for autonomous systems, climate modeling, and personalized medicine. Our Austin headquarters features state-of-the-art quantum labs and collaborative innovation spaces where breakthrough ideas become reality.

Responsibilities

  • Design quantum-resistant AI architectures for enterprise-scale applications
  • Develop hybrid quantum-classical machine learning pipelines
  • Lead prototyping of next-gen autonomous decision systems
  • Collaborate with quantum hardware teams on error correction protocols
  • Architect ethical AI frameworks for regulatory compliance
  • Research and integrate emerging technologies like neuromorphic computing
  • Mentor junior engineers in quantum algorithm development

Qualifications

  • PhD in Computer Science, Physics, or related field (MS with exceptional experience)
  • 5+ years in quantum computing or advanced AI system design
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Experience with distributed ML systems (TensorFlow, PyTorch)
  • Strong background in cryptography and quantum security protocols
  • Published research in quantum machine learning or adjacent fields
  • Expertise in cloud-native deployment (AWS/Azure/GCP quantum services)

Required Skills

Quantum Computing Machine Learning System Architecture AI Ethics Cryptography Distributed Systems Cloud Computing Python Research

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