Job Description
Join our pioneering 2026 Initiative at QuantumLeap Technologies to architect the next generation of AI systems. We're seeking an innovative AI Systems Architect to design and implement scalable machine learning frameworks that will redefine industry standards. This role offers the opportunity to work at the intersection of quantum computing, neural networks, and edge AI deployment, shaping the technological landscape of tomorrow.
Responsibilities
- Design end-to-end AI system architectures for large-scale machine learning models
- Develop quantum-inspired algorithms for enhanced computational efficiency
- Lead integration of edge AI solutions with cloud-native infrastructure
- Create robust security frameworks for federated learning environments
- Mentor cross-functional teams in AI implementation best practices
- Contribute to patents and open-source projects in emerging AI domains
Qualifications
- PhD in Computer Science/AI or equivalent experience with 8+ years in ML systems
- Expertise in distributed computing frameworks (Kubernetes, Spark, Ray)
- Deep learning architecture mastery (Transformer, GAN, diffusion models)
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Proficiency in Python, Rust, and low-level optimization techniques
- Experience with quantum computing APIs (Qiskit, Cirq) preferred