Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Engineer, you'll architect and deploy revolutionary algorithms that leverage quantum computing to solve previously unsolvable problems in machine learning, cryptography, and materials science. Our multidisciplinary team operates in a cutting-edge lab environment where your work will directly impact breakthroughs in drug discovery, climate modeling, and autonomous systems.
We offer unparalleled resources including access to 1000-qubit quantum processors, dedicated GPU clusters, and collaboration with Nobel laureates. Your innovations will shape the 2026 technological landscape while contributing to patents and peer-reviewed publications.
Responsibilities
- Design and implement quantum machine learning algorithms for neural network acceleration
- Develop hybrid quantum-classical computing frameworks for optimization problems
- Collaborate with physicists to engineer quantum error correction protocols
- Create simulation environments for quantum hardware testing
- Lead open-source contributions to quantum-AI libraries (Qiskit, Cirq, PennyLane)
- Translate theoretical quantum models into scalable production systems
- Present findings at premier conferences (Q2B, IEEE Quantum Week)
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 2+ years industry experience
- Proficiency in quantum programming languages (Q#, Qiskit, PyQuil)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting quantum processors or trapped ion systems
- Strong background in linear algebra, probability, and complex analysis
- Ability to work in cross-functional teams with physicists and software engineers