Job Description
Join Nexus Quantum Labs at the frontier of technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computation by 2026. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with artificial intelligence to solve previously unsolvable challenges in cryptography, materials science, and climate modeling. Work in our state-of-the-art facility with world-class physicists and AI specialists to build the computational backbone of tomorrow.
Responsibilities
- Design and implement quantum machine learning algorithms for hybrid quantum-classical systems
- Develop error correction protocols for fault-tolerant quantum processors
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Lead breakthrough research in quantum neural networks and quantum data encoding
- Publish findings in top-tier journals and present at international conferences
- Secure $5M+ in research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Computer Science, or related field
- 3+ years experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in quantum error correction and fault-tolerance techniques
- Publication record in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, quantum mechanics, and information theory