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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Architect

NeuraTech Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join NeuraTech Solutions at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026 and beyond. We're seeking a visionary Quantum AI Architect to design and implement groundbreaking systems that will redefine computational boundaries. This role offers the rare opportunity to shape the future of artificial intelligence while working with cutting-edge quantum hardware and advanced neural networks.

In our collaborative innovation hub, you'll lead cross-disciplinary teams to develop scalable quantum-AI frameworks for next-generation applications. The ideal candidate combines deep technical expertise with strategic foresight to translate theoretical breakthroughs into practical solutions that will power industries worldwide.

Responsibilities

  • Design quantum-AI hybrid architectures leveraging qubit entanglement and neural network optimization
  • Develop error-correction protocols for quantum machine learning systems at scale
  • Lead implementation of quantum-resistant encryption algorithms for 2026 security standards
  • Collaborate with hardware teams to optimize quantum processor performance for AI workloads
  • Create predictive models for quantum computing market evolution through 2030
  • Develop quantum-AI training pipelines for next-generation neural networks
  • Present architectural blueprints to C-suite stakeholders and investor boards

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 5+ years industry experience
  • Expertise in quantum algorithms (QAOA, VQE, Grover's) and AI frameworks (PyTorch, TensorFlow)
  • Published research in Nature/Science journals on quantum-AI integration
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Experience with quantum hardware from providers like IBM Quantum, Rigetti, or IonQ
  • Track record of leading complex technical projects with $10M+ budgets
  • Deep understanding of quantum decoherence mitigation and error correction techniques
  • Strategic vision for applying quantum computing to solve 2026-era business challenges

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit PyTorch Quantum Algorithms AI Architecture Error Correction High-Performance Computing

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