Job Description
Shape the technological frontier of 2026 with Nexus Quantum Systems. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll architect breakthrough algorithms that redefine computational boundaries in fields like drug discovery, climate modeling, and cryptography. Join our interdisciplinary team at the forefront of the quantum revolution, where theoretical innovation meets practical application in a collaborative, future-focused environment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural networks for next-generation AI systems
- Collaborate with physicists to translate quantum hardware capabilities into practical software solutions
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish findings in top-tier journals and present at international quantum computing conferences
- Contribute to open-source quantum AI frameworks and contribute to industry standards
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
- Strong background in machine learning frameworks (PyTorch, TensorFlow) with quantum integration experience
- Published research in quantum machine learning or quantum information theory
- Proficiency in high-performance computing and distributed quantum systems
- Demonstrated ability to translate complex quantum concepts into scalable engineering solutions