Job Description
Join NeuroSynth Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. Our Austin-based innovation hub seeks a visionary Quantum AI Architect to design scalable neural networks that leverage quantum computing principles. This role offers unparalleled opportunities to shape 2026's technological landscape while collaborating with Nobel laureates and industry disruptors.
We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum research facilities. Ideal candidates thrive in fast-paced environments where theoretical physics meets practical AI implementation.
Responsibilities
- Architect quantum neural networks for next-generation AI systems
- Develop hybrid quantum-classical computing frameworks
- Lead cross-functional teams in prototyping quantum algorithms
- Optimize quantum error correction protocols for AI training
- Collaborate with hardware engineers on quantum chip integration
- Publish peer-reviewed research on quantum-AI convergence
- Secure patents for novel quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 5+ years experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Published research in Nature/Science journals preferred
- Expertise in quantum error correction techniques
- Strong background in deep learning architectures
- Experience with superconducting quantum processors
- Ability to translate complex quantum concepts to business stakeholders