Job Description
Shape the future at Nexus Labs, where we're bridging quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll pioneer breakthrough algorithms at the intersection of quantum mechanics and machine learning. Join our elite team in Austin's thriving tech ecosystem to develop next-gen systems that will redefine computational capabilities.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop novel quantum algorithms for optimization and pattern recognition
- Collaborate with quantum hardware teams to optimize algorithm performance
- Lead research initiatives in quantum neural networks and quantum data analysis
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent filings
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong foundation in machine learning frameworks (PyTorch, TensorFlow)
- Research experience in quantum algorithms or quantum machine learning
- Expertise in linear algebra, probability, and information theory
- Publication record in quantum computing or AI research