Job Description
Join NeuroTech Innovations at the forefront of technological evolution as we pioneer quantum-powered AI systems that will redefine 2026's digital landscape. As our Quantum AI Systems Architect, you'll design and deploy next-generation neural networks leveraging quantum computing principles to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the convergence of quantum mechanics and artificial intelligence in a collaborative, future-focused environment.
Responsibilities
- Architect scalable quantum AI systems using Qiskit and TensorFlow Quantum frameworks
- Lead cross-functional teams in developing quantum neural networks for real-world applications
- Optimize quantum algorithms for machine learning tasks with 99.9% accuracy benchmarks
- Design hybrid quantum-classical computing architectures for enterprise-scale deployment
- Conduct cutting-edge research in quantum machine learning models and publish findings
- Mentor junior quantum engineers and establish best practices for quantum AI development
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum algorithms (Grover's, Shor's, VQE) and error correction techniques
- Proficiency in Python, C++, and quantum programming languages (Q#, Qiskit)
- Proven track record of deploying production-level quantum machine learning systems
- Strong background in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in top-tier quantum/AI conferences or journals
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)