Job Description
Join NeuroDyne Systems at the forefront of 2026 technological innovation as we pioneer the next generation of quantum-AI convergence. Our Austin-based R&D hub seeks visionary Quantum AI Architects to design hybrid systems that redefine computational boundaries. You'll collaborate with Nobel laureates and disrupt industries through neural-network-quantum-algorithm integration. We offer equity, unlimited PTO, and a $50K annual research stipend for patentable innovations.
Responsibilities
- Architect scalable quantum-AI frameworks for real-time anomaly detection
- Lead cross-disciplinary teams in developing neuromorphic quantum processors
- Design fault-tolerant quantum neural networks for autonomous systems
- Implement zero-knowledge proofs for AI model security protocols
- Optimize quantum machine learning algorithms for edge computing
- Secure government contracts for defense-grade quantum encryption
- Publish breakthrough research in Nature/Science journals
Qualifications
- PhD in Quantum Computing or Machine Learning with 5+ years experience
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Published work in quantum supremacy or neural-quantum hybrid systems
- Expertise in topological quantum error correction techniques
- Track record of securing SBIR grants or DARPA contracts
- Deep understanding of quantum-entanglement-based AI training
- Fluency in Python/C++ with quantum algorithm optimization