Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Systems Architect to design, develop, and deploy next-generation artificial intelligence frameworks that will redefine industries. This role offers unparalleled opportunities to work with quantum computing interfaces, neural network optimization, and autonomous system integration in our state-of-the-art Austin innovation hub.
Our team operates at the intersection of machine learning, edge computing, and predictive analytics to create scalable AI ecosystems. You'll collaborate with Nobel-caliber researchers and industry disruptors while leveraging our $500M R&D budget. We offer comprehensive benefits including equity, unlimited PTO, and relocation assistance for exceptional candidates.
Responsibilities
- Architect and implement AI infrastructure supporting terabyte-scale data processing and real-time inference
- Design quantum-entangled machine learning models for predictive analytics and autonomous decision systems
- Lead cross-functional teams in developing ethical AI governance frameworks aligned with 2026 regulatory standards
- Optimize neural networks for edge deployment in IoT environments with <50ms latency requirements
- Research and integrate emerging technologies (neuromorphic computing, federated learning) into production pipelines
- Develop proprietary AI safety protocols for mission-critical autonomous systems
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in TensorFlow/PyTorch, quantum computing frameworks (Qiskit, Cirq), and distributed systems
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- Proven track record deploying AI systems processing >1 petabyte of data daily
- Deep understanding of ethical AI principles and responsible ML frameworks
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth) and edge computing stacks
- Strong background in AI security, adversarial defense, and robustness optimization