Job Description
Join Nexus Dynamics at the forefront of computational evolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-generation algorithms that merge quantum mechanics with machine learning frameworks. Our multidisciplinary team operates in state-of-the-art labs with access to quantum processors and petascale computing resources. This role offers unparalleled opportunity to publish breakthrough research, shape industry standards, and contribute to projects that will redefine technological capabilities by 2026.
Responsibilities
- Develop novel quantum machine learning algorithms for optimization and pattern recognition
- Design hybrid quantum-classical computing architectures for enterprise applications
- Lead experimental validation on quantum hardware platforms (IBM, Rigetti, D-Wave)
- Collaborate with cross-functional teams to integrate quantum solutions into AI pipelines
- Author peer-reviewed publications and present findings at premier conferences
- Secure research grants and patents for innovative quantum computing methodologies
- Mentor junior researchers and drive technical roadmap development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in machine learning libraries (TensorFlow, PyTorch) and classical AI
- Published research in quantum algorithms or quantum machine learning
- Proficiency in high-performance computing environments and parallel processing
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum)
- Demonstrated ability to secure research funding and lead technical projects