Job Description
Join NeuraFusion Labs at the forefront of technological evolution as we pioneer quantum-integrated AI systems for 2026. We're seeking a visionary Quantum AI Systems Architect to design next-generation neural networks that leverage quantum computing principles. This role requires a blend of theoretical physics, advanced machine learning, and practical deployment expertise to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling. Our Austin campus features state-of-the-art quantum labs and unlimited R&D resources.
Responsibilities
- Architect hybrid quantum-classical AI frameworks for real-world applications
- Lead cross-functional teams in deploying fault-tolerant quantum machine learning models
- Develop error-correction protocols for quantum neural networks
- Research novel quantum algorithms for AI optimization
- Collaborate with hardware teams on quantum chip integration
- Present breakthroughs at international quantum computing conferences
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years industry experience
- Published research in Nature/Science on quantum machine learning
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Proven track record deploying production quantum systems
- Deep understanding of tensor networks and quantum entanglement
- Experience with superconducting and photonic quantum processors
- Strong Python/C++ programming with quantum libraries