Job Description
Join NeuroQuant Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation neural interfaces that transcend classical computing paradigms. As a Quantum AI Researcher, you'll architect hybrid quantum-classical systems to solve previously unsolvable optimization problems in drug discovery and climate modeling. Our state-of-the-art lab features 128-qubit processors and neuromorphic computing clusters.
Responsibilities
- Design quantum neural network architectures for real-time data processing
- Develop error-correction protocols for quantum-AI hybrid systems
- Lead cross-functional teams in prototyping quantum machine learning models
- Collaborate with pharmaceutical partners to accelerate molecular simulation
- Author peer-reviewed publications on quantum-AI convergence
- Secure research grants from NSF and DARPA initiatives
Qualifications
- PhD in Quantum Computing or Machine Learning (or equivalent experience)
- Proficiency in Qiskit, Cirq, or quantum assembly languages
- Published research in Nature/Science quantum-AI papers
- Expertise in tensor network simulations for quantum systems
- Experience with neuromorphic hardware (Loihi, TrueNorth)
- Security clearance for DoD quantum research projects
- Fluency in Python/C++ with quantum simulation frameworks