Job Description
Join NeuroSync Systems at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with neural networks, solving problems currently deemed unsolvable. Our Austin R&D hub offers cutting-edge labs, collaborative pods, and direct mentorship from Nobel laureates. Shape the future where quantum mechanics meets artificial intelligence.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization
- Develop error-corrected quantum circuits for machine learning acceleration
- Collaborate with neuromorphic engineers to create quantum-neural interfaces
- Lead cross-functional teams in prototyping 6G quantum communication protocols
- Research quantum-resistant cryptography for post-quantum security frameworks
- Publish findings in Nature Physics and IEEE Quantum journals
Qualifications
- PhD in Quantum Computing, AI, or related field (MS with exceptional experience)
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Expertise in transformer architectures and quantum machine learning
- Experience with superconducting qubit systems or ion trap technologies
- Publication record in quantum/AI research (minimum 3 peer-reviewed papers)
- Strong background in complex systems theory and topological quantum computing