Job Description
Shape the future of artificial intelligence with quantum computing at Nexus Quantum Labs. We're pioneering revolutionary AI systems that leverage quantum entanglement to solve previously unsolvable computational challenges. As a Quantum AI Research Engineer, you'll develop hybrid quantum-neural architectures that will redefine machine learning capabilities across industries.
Join our elite team of quantum physicists and AI specialists in building the computational backbone of tomorrow's autonomous systems, drug discovery platforms, and financial modeling engines. This role offers unparalleled opportunities to publish groundbreaking research and contribute to humanity's technological evolution.
Responsibilities
- Design and implement quantum-enhanced neural networks using Qiskit and PennyLane frameworks
- Develop hybrid quantum-classical algorithms for optimization and machine learning tasks
- Conduct experimental research on quantum supremacy applications in AI domains
- Create fault-tolerant quantum error correction protocols for neural network training
- Collaborate with cross-functional teams to integrate quantum solutions into production AI systems
- Lead research initiatives in quantum machine learning and quantum-inspired optimization
- Author technical whitepapers and peer-reviewed publications on quantum AI breakthroughs
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proficiency in deep learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Strong background in quantum mechanics and quantum information theory
- Experience with quantum simulation tools and quantum hardware interfaces
- Publication record in top-tier quantum computing or AI conferences/journals
- Demonstrated ability to translate theoretical quantum concepts into practical implementations