Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Systems Architect to design and implement breakthrough solutions that will redefine computational capabilities by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence and quantum computing while collaborating with Nobel laureates and industry pioneers in our state-of-the-art facility.
Our team operates at the intersection of quantum mechanics, machine learning, and neuromorphic computing to develop fault-tolerant quantum neural networks. You'll work on cutting-edge projects including quantum-encrypted AI training frameworks and real-time quantum optimization algorithms for climate modeling and drug discovery.
Responsibilities
- Architect hybrid quantum-AI systems integrating 1000+ qubit processors with next-gen neural networks
- Design fault-tolerant quantum error correction protocols for mission-critical AI applications
- Lead development of quantum-encrypted machine learning pipelines processing exabyte-scale datasets
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Develop patent-pending quantum optimization algorithms solving NP-hard problems in real-time
- Mentor cross-functional teams in quantum computing principles and AI integration methodologies
- Drive innovation in quantum-safe AI frameworks for critical infrastructure protection
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics with 5+ years industry experience
- Proven expertise in quantum machine learning algorithms and quantum circuit optimization
- Deep knowledge of quantum error correction codes and fault-tolerant architectures
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical AI frameworks (PyTorch, TensorFlow)
- Published research in top-tier quantum/AI journals or conference proceedings
- Experience with superconducting qubit systems and quantum annealing technologies
- Strong background in computational complexity theory and quantum information theory
- Ability to translate theoretical quantum concepts into practical engineering solutions