Job Description
Join NeuroSync Dynamics at the forefront of technological evolution as we pioneer quantum neural interfaces for 2026. We're seeking a visionary Quantum AI Research Lead to architect next-generation cognitive systems that will redefine human-machine symbiosis. Our Silicon Valley lab operates at the intersection of quantum computing, neuromorphic engineering, and emergent AI paradigms. This role offers unparalleled resources to transform theoretical breakthroughs into deployable solutions.
Responsibilities
- Architect quantum neural network frameworks for real-time cognitive augmentation
- Lead cross-disciplinary teams in developing quantum-entangled AI models
- Translate theoretical quantum computing principles into scalable algorithms
- Collaborate with neuroscientists to model quantum-assisted neural plasticity
- Secure $5M+ research grants from DARPA and NSF initiatives
- Author white papers on quantum-AI convergence for IEEE publications
- Prototype quantum neural interfaces for clinical and industrial applications
Qualifications
- PhD in Quantum Computing or Computational Neuroscience with 5+ years research
- Published work in Nature/Science on quantum machine learning
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Proficiency in neuromorphic computing frameworks (Loihi, SpiNNaker)
- Track record of securing federal research grants
- Deep understanding of quantum error correction protocols
- Experience with high-performance quantum annealing systems
- Patents in quantum-AI hybrid systems preferred