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Quantum AI Systems Architect

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Systems Architects to design next-generation hybrid quantum-classical computing platforms. You'll pioneer breakthroughs in quantum machine learning, cryptography, and autonomous systems that will redefine industries worldwide. Our state-of-the-art Austin lab offers unparalleled resources for research, development, and real-world deployment of quantum-empowered solutions.

This role combines deep theoretical physics with cutting-edge software engineering to create systems that leverage quantum entanglement, superposition, and AI convergence. You'll collaborate with Nobel laureates, lead open-source quantum frameworks, and shape the ethical foundations of quantum AI adoption. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your moment.

Responsibilities

  • Architect hybrid quantum-classical systems with 1000+ qubit scalability
  • Design quantum neural networks for real-time optimization and predictive analytics
  • Develop quantum-resistant cryptographic protocols for next-gen security
  • Lead cross-functional teams in implementing quantum algorithms on proprietary hardware
  • Research quantum-AI convergence for autonomous systems and biotech applications
  • Contribute to open-source quantum frameworks and industry standards
  • Mentor junior researchers and publish breakthrough findings in top-tier journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Expertise in quantum algorithms (Shor's, Grover's, QAOA) and error correction techniques
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python/C++
  • Proven track record of deploying quantum solutions in production environments
  • Deep understanding of machine learning frameworks (TensorFlow, PyTorch) integration
  • Strong background in high-performance computing architectures and parallel processing
  • Published research in quantum computing or quantum information theory

Required Skills

Quantum Computing AI/ML Cryptography High-Performance Computing Python C++ Quantum Algorithms Machine Learning

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