Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next wave of computational intelligence. We seek a visionary Quantum AI Architect to design and implement hybrid quantum-classical systems that will redefine industries by 2026. This role offers unparalleled opportunity to shape the future of AI while working with cutting-edge quantum hardware and advanced neural networks.
Our ideal candidate thrives at the intersection of quantum physics and machine learning, pushing boundaries to solve previously impossible computational challenges. You'll lead cross-functional teams to develop scalable quantum algorithms, optimize neural network architectures for quantum advantage, and drive research breakthroughs in quantum machine learning.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures leveraging QML frameworks
- Develop quantum algorithms for optimization, simulation, and pattern recognition tasks
- Lead R&D initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to optimize quantum circuit performance
- Establish best practices for quantum AI integration in cloud environments
- Mentor junior researchers and publish breakthrough findings in top-tier journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 5+ years in AI/ML with proven expertise in quantum algorithms
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum computing
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex quantum concepts into practical business applications