Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer AI systems for 2026. We're seeking an AI Systems Architect to design next-generation neural frameworks that will redefine human-machine collaboration. This role combines visionary thinking with practical implementation to build scalable AI solutions for autonomous systems, quantum computing interfaces, and predictive analytics platforms. You'll work in our state-of-the-art Austin innovation lab, collaborating with Nobel laureates and industry disruptors to shape the digital landscape of tomorrow.
Our team operates at the intersection of neuroscience, quantum physics, and machine learning. We offer unlimited R&D budget, flexible work arrangements, and equity in our patent portfolio. This is more than a job—it's your chance to architect the future.
Responsibilities
- Architect scalable AI systems integrating quantum computing and neuromorphic processors
- Design hybrid neural networks for real-time autonomous decision-making frameworks
- Develop cross-platform AI optimization algorithms for edge-to-cloud deployment
- Create ethical AI governance frameworks compliant with 2026 regulatory standards
- Lead prototyping of next-gen human-AI collaborative interfaces
- Research and implement breakthrough technologies in federated learning
- Mentor cross-functional teams in AI-first development methodologies
- Secure patents for novel AI system architectures
Qualifications
- PhD in Computer Science, AI, or Quantum Engineering with 5+ years industry experience
- Expertise in TensorFlow/PyTorch and quantum programming languages (Q#, Qiskit)
- Published research in top-tier AI/quantum conferences (NeurIPS, ICML, QCE)
- Proven track record architecting production AI systems at scale (>10M users)
- Deep understanding of neuromorphic computing and brain-inspired architectures
- Proficiency in deploying AI solutions on quantum hardware (IBM, Rigetti, D-Wave)
- Certification in AI ethics and responsible AI frameworks
- Experience with MLOps tools (MLflow, Kubeflow) for 2026-era infrastructure