Job Description
Join QuantumLeap Dynamics at the forefront of technological innovation. We're seeking visionary AI Systems Architects to design and implement next-generation quantum-AI hybrid systems that will redefine computing by 2026. You'll collaborate with Nobel laureates and industry pioneers in our Austin-based quantum research lab, pushing the boundaries of machine learning and computational physics.
Our team operates at the intersection of quantum computing, neural networks, and edge AI, developing solutions for autonomous systems, climate modeling, and personalized medicine. We offer unparalleled resources, including access to quantum simulators and petabyte-scale datasets, alongside a culture that values intellectual curiosity and breakthrough thinking.
Responsibilities
- Design scalable quantum-AI hybrid architectures for enterprise applications
- Lead R&D initiatives in neuromorphic computing and quantum machine learning
- Develop fault-tolerant algorithms for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI co-processing systems
- Publish groundbreaking research in top-tier AI/quantum journals
- Mentor junior researchers in advanced quantum programming paradigms
Qualifications
- PhD in Computer Science, Quantum Physics, or related field
- 5+ years experience in quantum computing or advanced AI systems
- Expertise in Q#, Qiskit, or equivalent quantum programming frameworks
- Published research in quantum machine learning or neuromorphic systems
- Proficiency with TensorFlow Quantum and PyTorch Quantum
- Deep understanding of quantum error correction protocols
- Experience with distributed quantum computing architectures