Job Description
Join NeuroSphere Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms merging quantum mechanics with neural networks to solve previously insurmountable challenges in cryptography, materials science, and autonomous systems.
Our multidisciplinary teams collaborate in state-of-the-art labs equipped with D-Wave quantum processors and NVIDIA H100 clusters. This role offers unparalleled opportunities to publish breakthrough research and commercialize innovations through our venture studio partnerships.
Responsibilities
- Design quantum machine learning models leveraging variational circuits for real-time optimization
- Develop hybrid quantum-classical frameworks for large-scale data processing
- Lead cross-functional projects with quantum hardware engineers and AI specialists
- Author peer-reviewed publications and patents for quantum algorithm innovations
- Optimize quantum error correction protocols for fault-tolerant AI systems
- Collaborate with government agencies on quantum security standards development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Cirq, or Qiskit)
- Published research in quantum machine learning or quantum information theory
- Proficiency with TensorFlow/PyTorch and high-performance computing frameworks
- Familiarity with topological quantum computing concepts
- Demonstrated experience with quantum hardware (IBM Q, Rigetti, or IonQ)
- Strong background in linear algebra, differential equations, and probability theory