Job Description
Join NeuroSync Systems at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation neural interfaces and quantum computing architectures that will redefine human-machine symbiosis. As a Quantum AI Engineer, you'll architect hybrid quantum-classical systems that process exabyte-scale datasets while maintaining quantum coherence. Our Austin-based R&D hub offers state-of-the-art lab facilities and collaboration with Nobel laureates to transform theoretical breakthroughs into commercial quantum applications.
Responsibilities
- Design and implement quantum machine learning algorithms for real-time data processing
- Develop fault-tolerant quantum circuits operating at room temperature
- Integrate quantum processors with classical neural networks
- Optimize quantum algorithms for NISQ-era hardware constraints
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Secure patents for novel quantum computing methodologies
- Maintain quantum coherence in multi-qubit entanglement systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience with quantum programming languages (Q#, Qiskit)
- Expertise in quantum error correction and fault tolerance protocols
- Publication record in Nature/Science quantum computing papers
- Proficiency in tensor network simulations for quantum systems
- Experience with cryogenic quantum hardware integration
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Security clearance for quantum research projects