Job Description
Join NeuroTech Systems at the forefront of 2026's quantum-AI revolution! We're seeking a pioneering Quantum AI Research Lead to architect the next generation of cognitive computing systems. This role bridges quantum mechanics and neural networks to solve previously impossible challenges in healthcare, climate modeling, and autonomous systems. Work in our state-of-the-art facility where theoretical physics meets practical application.
Responsibilities
- Design and implement hybrid quantum-neural architectures for next-gen AI models
- Lead cross-disciplinary teams of physicists, ML engineers, and domain experts
- Develop error-corrected quantum algorithms for real-world applications
- Secure $15M+ in research grants from DARPA and NSF
- Publish breakthrough research in Nature/Science journals
- Collaborate with Intel, IBM, and Google on quantum hardware integration
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years research experience
- Published work in top-tier quantum/AI conferences (NeurIPS, QIP)
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Expertise in quantum error correction and fault-tolerant systems
- Strong track record of securing federal research funding
- Experience leading international research consortia
- Patents in quantum algorithms or neural networks