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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Integration Specialist

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 185.000 – USD 275.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Integration Specialist to architect the next generation of hybrid computational systems that will redefine industries by 2026. This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with world-renowned researchers in our state-of-the-art Austin innovation lab.

You'll drive breakthroughs in quantum machine learning algorithms, optimize quantum-classical workflows, and develop scalable solutions for Fortune 500 partners in finance, pharmaceuticals, and logistics. Our culture champions intellectual curiosity, rapid prototyping, and ethical innovation—where your contributions will directly shape humanity's technological trajectory.

Responsibilities

  • Design and implement hybrid quantum-AI frameworks for enterprise-scale optimization problems
  • Develop quantum neural network architectures leveraging 1000+ qubit systems
  • Create real-time quantum-classical pipelines for predictive analytics and decision automation
  • Lead cross-functional teams in deploying quantum solutions in cloud-native environments
  • Establish industry benchmarks for quantum AI performance and security protocols
  • Pioneer novel error-correction techniques for fault-tolerant quantum machine learning
  • Collaborate with hardware teams to co-design quantum accelerators for AI workloads

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (MS with 5+ years experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
  • Proven experience developing production-grade AI/ML systems with PyTorch/TensorFlow
  • Deep understanding of quantum algorithms (QAOA, VQE, quantum neural networks)
  • Published research in quantum machine learning or related top-tier conferences/journals
  • Strong background in high-performance computing and distributed systems
  • Certification in quantum hardware platforms (IBM Quantum, Rigetti, IonQ)

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq PyTorch Quantum Algorithms Cloud Computing AWS/Azure High-Performance Computing Research

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