Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. Our multidisciplinary team is developing revolutionary solutions that will redefine computational paradigms by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence and quantum computing in a dynamic, innovation-driven environment.
Responsibilities
- Design and implement cutting-edge AI algorithms for quantum system optimization
- Lead research initiatives in quantum machine learning and neural network acceleration
- Collaborate with quantum hardware specialists to develop hybrid computing architectures
- Develop predictive models for quantum error correction and system reliability
- Publish high-impact research in top-tier journals and conferences
- Drive innovation in autonomous quantum system training methodologies
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq) and AI/ML frameworks (TensorFlow, PyTorch)
- Strong background in quantum algorithms and quantum information theory
- Proven track record of peer-reviewed publications in AI or quantum computing
- Experience with high-performance computing and distributed systems
- Proficiency in Python, C++, and low-level optimization techniques