Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine computational paradigms. As a Quantum AI Research Scientist, you'll develop hybrid quantum-neural systems to solve previously intractable problems in drug discovery, climate modeling, and cryptography. Our state-of-the-art lab features proprietary quantum processors and dedicated GPU clusters. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical innovation.
Responsibilities
- Design and implement quantum algorithms leveraging machine learning frameworks for optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Create hybrid quantum-classical neural network architectures for predictive modeling
- Lead cross-functional R&D projects integrating quantum sensors with AI analytics platforms
- Publish peer-reviewed research in top-tier journals (Nature Physics, Science Advances)
- Secure patents for novel quantum-AI methodologies and hardware innovations
- Mentor junior researchers in quantum programming languages (Qiskit, Cirq) and ML frameworks
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 3+ years hands-on experience with quantum programming (QASM, Qiskit, or Q#)
- Proficiency in deep learning frameworks (PyTorch/TensorFlow) and quantum machine learning libraries
- Published research in quantum information science or AI optimization
- Expertise in superconducting qubit systems or photonic quantum processors
- Strong background in complex mathematical modeling (linear algebra, topology, differential equations)
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)