Job Description
Join Nexus Quantum Dynamics at the forefront of 2026 technological evolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen systems that merge quantum computing with machine learning, pushing the boundaries of computational possibility. Our multidisciplinary team operates in state-of-the-art labs with access to cutting-edge quantum hardware and AI infrastructure. This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum algorithms for advanced AI model optimization
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Develop novel error-correction protocols for quantum machine learning pipelines
- Collaborate with hardware teams to prototype quantum-AI acceleration systems
- Publish peer-reviewed research in top-tier journals and conferences
- Secure patents for quantum-AI methodologies and architectures
- Mentor junior researchers in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, Qiskit, and TensorFlow/PyTorch frameworks
- Published research in quantum computing or AI (Nature/Science/NeurIPS preferred)
- Strong background in linear algebra, quantum mechanics, and probability theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to translate complex theoretical concepts into practical implementations