Job Description
Join Nexus Quantum 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 shape the future of artificial intelligence through quantum-enhanced machine learning models.
We provide a state-of-the-art laboratory environment, competitive equity packages, and flexible hybrid work arrangements. Our culture celebrates intellectual curiosity and cross-disciplinary collaboration, with dedicated funding for cutting-edge research initiatives.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Lead cross-functional research teams in developing quantum-enhanced machine learning algorithms
- Collaborate with hardware engineers to optimize quantum-classical integration systems
- Publish breakthrough research in top-tier journals and industry conferences
- Develop proprietary quantum-AI frameworks with commercial scalability potential
- Secure external research grants and partnerships with leading academic institutions
- Mentor junior researchers and drive innovation in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years of hands-on experience with quantum computing platforms (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Proven track record of publishing in quantum computing or AI research
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Experience with high-performance computing environments and parallel processing
- Demonstrated ability to translate complex theoretical concepts into practical implementations