Job Description
Join Nexus Quantum Systems at the forefront of computational evolution. We're pioneering quantum-AI fusion technologies that will redefine industries by 2026. Our multidisciplinary team operates in state-of-the-art labs where theoretical physics meets machine learning innovation. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that leverage quantum supremacy to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. We offer unparalleled resources, including access to 500-qubit quantum processors and NVIDIA's latest H100 clusters. This role includes competitive equity packages, flexible hybrid work arrangements, and opportunities to publish in Nature/Science journals.
Responsibilities
- Design and implement quantum machine learning models using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical algorithms for optimization and simulation tasks
- Collaborate with hardware engineers to prototype quantum circuits on real quantum processors
- Lead cross-functional teams to translate theoretical research into production-ready solutions
- Publish findings in top-tier scientific journals and present at international conferences
- Secure research grants and patents for novel quantum-AI methodologies
- Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum integration
- Published research in quantum computing or quantum machine learning
- Strong mathematical foundation in linear algebra, probability, and information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
- Proficiency in Python/C++ with high-performance computing optimization skills
- Track record of translating complex algorithms into functional prototypes