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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Architect to design next-generation systems that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of human-machine interaction and solve humanity's most complex challenges.

Our Austin innovation hub provides a dynamic environment where you'll collaborate with Nobel laureates and industry disruptors. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak productivity.

Responsibilities

  • Architect hybrid quantum-classical AI systems for enterprise-scale deployment
  • Develop fault-tolerant quantum algorithms to accelerate machine learning workflows
  • Lead cross-functional teams in translating theoretical models into scalable solutions
  • Establish quantum security protocols for next-gen data infrastructure
  • Contribute to open-source quantum AI frameworks and industry standards
  • Present breakthrough findings at premier tech conferences and academic journals

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Expertise in quantum circuit design and error correction methodologies
  • Proven track record deploying production-level quantum machine learning systems
  • Mastery of Qiskit, Cirq, and TensorFlow Quantum frameworks
  • Published research in top-tier quantum/AI journals (Nature, Science, etc.)
  • Strong background in high-performance computing and distributed systems
  • Experience securing venture funding for experimental tech projects

Required Skills

Quantum Computing Machine Learning AI Architecture Qiskit Cirq TensorFlow Quantum High-Performance Computing Fault-Tolerant Systems

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