Job Description
Join NeuroSync Technologies at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to redefine human-computer interaction. As a Quantum AI Engineer, you'll architect next-gen systems that blend quantum computing with neural networks to solve previously impossible challenges. Our Austin R&D hub offers cutting-edge labs and collaborative spaces where your innovations will shape the future. We provide competitive equity packages, flexible hybrid work, and unparalleled professional development.
Responsibilities
- Design and deploy quantum machine learning models for real-world applications
- Develop hybrid quantum-classical neural networks using Python and Qiskit
- Optimize quantum algorithms for scalability and error correction
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research initiatives to advance quantum-AI interoperability standards
- Document technical specifications and publish breakthrough findings
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in neural network architectures and deep learning frameworks
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and quantum mechanics
- Publication record in quantum computing or AI research
- Ability to translate complex concepts into actionable technical strategies