Job Description
Join Nexus Quantum Labs at the forefront of computational innovation as we pioneer the next generation of quantum-powered AI systems. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine machine learning in the post-quantum era. Your work will directly shape the future of autonomous systems, cryptography, and computational biology.
Our state-of-the-art lab features 128-qubit processors and exclusive access to IBM Quantum and Google Quantum AI networks. You'll collaborate with Nobel laureates and Turing Award winners in an environment where theoretical physics meets practical AI implementation.
Responsibilities
- Design and implement hybrid quantum-classical neural network architectures
- Develop quantum-enhanced optimization algorithms for large-scale ML models
- Research quantum-resistant cryptographic protocols for AI security
- Simulate quantum computing environments using Qiskit and Cirq frameworks
- Lead cross-functional projects with materials science and quantum hardware teams
- Publish findings in Nature Quantum Information and IEEE journals
- Secure patents for novel quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction
- Proficiency in Python with quantum libraries (Qiskit, PennyLane, Cirq)
- Published research in quantum machine learning or quantum AI
- Experience with high-performance computing clusters and GPU acceleration
- Deep understanding of quantum decoherence mitigation techniques
- Strong background in linear algebra, probability theory, and information theory