Job Description
Join NeuroSphere Dynamics at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Systems Architect to design next-generation neural networks that leverage quantum entanglement for unprecedented computational power. In this role, you'll architect hybrid quantum-classical systems that will redefine machine learning capabilities across healthcare, climate modeling, and autonomous systems. Our Austin-based innovation hub offers cutting-edge resources and a collaborative environment where your ideas will shape the future of human-machine symbiosis.
Responsibilities
- Design and implement scalable quantum neural network architectures using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical algorithms for real-time data processing at exascale levels
- Lead cross-functional teams of quantum physicists, AI engineers, and domain specialists
- Optimize quantum circuits for error correction and coherence in fault-tolerant systems
- Translate complex quantum computing concepts into actionable business solutions
- Research and integrate emerging quantum hardware from IBM, Google, and D-Wave ecosystems
- Architect secure quantum-encrypted communication protocols for AI model transfer
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
- Expertise in quantum machine learning algorithms and variational quantum circuits
- Proficiency in Python, Qiskit, TensorFlow Quantum, and high-performance computing frameworks
- Published research in top-tier quantum computing or AI conferences (e.g., QIP, NeurIPS)
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Experience with quantum hardware integration and optimization for commercial applications
- Strong background in distributed systems and cloud-native architectures (AWS/Azure/GCP)
- Track record of leading technical teams through product development lifecycles