Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our interdisciplinary team is developing revolutionary algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunities to contribute to breakthrough research in quantum machine learning, with state-of-the-art facilities and resources at your disposal.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization
- Lead cross-functional R&D projects integrating quantum computing with neural networks
- Develop theoretical frameworks for quantum-enhanced machine learning models
- Collaborate with hardware engineers to bridge quantum hardware and software systems
- Publish high-impact research in peer-reviewed journals and conferences
- Mentor junior researchers and foster innovation in quantum-AI convergence
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in Python, Qiskit, and quantum circuit design
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Published research in quantum computing or quantum machine learning
- Proven ability to lead complex technical projects