Job Description
Shape the future of computational intelligence at Nexus Quantum Labs, where quantum mechanics meets artificial intelligence. We're pioneering breakthroughs in quantum neural networks and algorithmic optimization for 2026's most complex challenges. Join our interdisciplinary team of Nobel-caliber researchers to develop next-generation quantum AI systems that will redefine industries from healthcare to climate modeling.
Our state-of-the-art quantum computing lab offers unparalleled resources, including 128-qubit processors, cryogenic control systems, and dedicated access to our quantum cloud platform. You'll collaborate with world-class physicists, machine learning engineers, and domain experts to solve previously impossible problems.
Responsibilities
- Design and implement novel quantum machine learning algorithms for pattern recognition and optimization
- Develop hybrid quantum-classical neural architectures for 2026-scale data processing
- Lead experimental validation of quantum AI models on proprietary quantum hardware
- Author peer-reviewed research publications and patent disclosures
- Collaborate with cross-functional teams to integrate quantum AI solutions into enterprise platforms
- Mentor junior researchers and contribute to open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum machine learning
- Published research in quantum computing or AI at top-tier conferences/journals
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Experience with quantum hardware integration and error mitigation techniques