Job Description
Step into the future with Nexus Labs – where quantum computing meets artificial intelligence. As a Quantum AI Architect, you'll spearhead revolutionary projects at the intersection of quantum mechanics and machine learning. Our Austin innovation hub is developing next-gen systems that will redefine computational boundaries by 2026. This role demands visionary thinkers who can bridge theoretical physics with practical AI applications, creating solutions that solve previously impossible problems.
Join our elite team to work with cutting-edge quantum hardware, collaborate with Nobel laureates, and contribute to projects that will transform industries from healthcare to space exploration. We offer unparalleled resources, flexible research frameworks, and the opportunity to leave an indelible mark on technological history.
Responsibilities
- Design and implement hybrid quantum-classical AI frameworks for complex optimization problems
- Lead R&D initiatives in quantum neural networks and quantum machine learning algorithms
- Collaborate with quantum hardware engineers to develop error-resistant quantum computing architectures
- Create scalable AI solutions leveraging quantum advantage for real-world applications
- Develop proprietary quantum simulation tools for large-scale data processing
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor cross-functional teams in quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years of industry experience
- Deep expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum error correction
- Proficiency in quantum programming languages (Q#, Quil, Qiskit) and classical ML frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting quantum processors or ion trap systems
- Demonstrated ability to translate theoretical concepts into production-ready solutions
- Strong background in high-performance computing and distributed systems