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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future of human-machine intelligence as a Quantum AI Systems Architect at Nexus Quantum Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll design next-generation quantum neural networks and hybrid quantum-classical AI frameworks that will redefine industries by 2026.

Join our elite team of visionaries in Austin's thriving tech ecosystem. You'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum algorithms, optimize quantum machine learning pipelines, and architect scalable quantum-AI integration systems. The impact of your work will directly influence how we approach climate modeling, drug discovery, and autonomous systems in the coming decade.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
  • Develop fault-tolerant quantum neural networks with error correction protocols
  • Optimize quantum machine learning algorithms for NISQ-era hardware constraints
  • Lead quantum-AI integration projects with Fortune 500 partners in healthcare and finance
  • Research and implement novel quantum algorithms for optimization and simulation problems
  • Mentor junior quantum engineers and publish breakthrough research in top-tier journals
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
  • 5+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in Python, Qiskit, Cirq, and quantum circuit optimization techniques
  • Proven track record of publishing in quantum computing or AI conferences (NeurIPS, QIP, etc.)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Strong background in high-performance computing and distributed systems

Required Skills

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

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