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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

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

Job Description

Join Nexus Labs at the forefront of 2026's quantum-AI revolution! We're seeking a visionary Quantum AI Architect to design next-gen computational frameworks that will redefine industries. You'll lead cross-disciplinary teams to develop hybrid quantum-classical systems, pushing the boundaries of what's possible in machine learning and cryptography. Our Austin hub offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry pioneers. This role includes competitive equity packages, flexible work arrangements, and dedicated R&D budget for experimental projects.

Responsibilities

  • Architect scalable quantum-AI integration frameworks for enterprise applications
  • Lead development of error-corrected quantum neural networks
  • Design cryptographic protocols for post-quantum security systems
  • Collaborate with quantum hardware teams to optimize algorithm-hardware interfaces
  • Develop real-time quantum simulation engines for complex modeling
  • Mentor junior researchers in quantum machine learning techniques
  • Publish breakthrough research in top-tier scientific journals

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
  • 5+ years developing quantum algorithms or AI systems
  • Expertise in quantum programming languages (Qiskit, Cirq, etc.)
  • Published research in quantum machine learning or quantum cryptography
  • Proficiency with high-performance computing environments
  • Experience with hybrid quantum-classical workflow optimization
  • Strong background in tensor networks and quantum error correction
  • Track record of translating theoretical models into practical implementations

Required Skills

Quantum Computing Machine Learning Cryptography Qiskit Cirq High-Performance Computing Quantum Error Correction Neural Networks

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