Job Description
Join NeuralCore Systems at the forefront of 2026's technological revolution as we pioneer quantum-AI integration. We seek a visionary Quantum AI Research Scientist to develop next-generation algorithms that redefine computational boundaries. This role offers unparalleled resources to explore uncharted territories in quantum machine learning, working in our state-of-the-art lab with industry-leading experts.
As part of our elite innovation team, you'll contribute to breakthroughs in quantum neural networks and hybrid quantum-classical systems, directly impacting fields from drug discovery to climate modeling. We provide competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with MIT and Stanford.
Responsibilities
- Design and implement quantum algorithms for AI optimization challenges
- Lead research on quantum neural network architectures and error mitigation
- Collaborate with hardware teams to co-design quantum-AI hybrid systems
- Develop novel frameworks for quantum machine learning applications
- Publish peer-reviewed research in top-tier journals and conferences
- Mentor junior researchers and drive cross-functional innovation projects
- Secure external funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in machine learning and deep learning architectures
- Published research in quantum information or quantum machine learning
- Strong proficiency in Python, TensorFlow, and PyTorch
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)