Job Description
Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum-AI convergence systems that will redefine industries by 2026. As a Quantum AI Research Engineer, you'll architect hybrid quantum-neural networks, collaborate with Nobel laureates, and deploy solutions that solve previously impossible computational challenges. This role offers unparalleled opportunities to shape humanity's technological future.
Responsibilities
- Design and implement quantum algorithms integrated with deep learning frameworks
- Develop error-correction protocols for quantum-AI hybrid systems
- Lead experimental validation of quantum neural networks
- Collaborate with cross-disciplinary teams on 2026 technology roadmaps
- Author breakthrough research papers for peer-reviewed journals
- Optimize quantum-classical computing interfaces for real-world applications
- Drive innovation in quantum machine learning architectures
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience)
- 3+ years hands-on quantum algorithm development
- Expertise in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Track record of translating theoretical concepts into practical implementations