Job Description
Shape the future of AI at QuantumLeap Systems! We're seeking a visionary AI/ML Infrastructure Architect to design cutting-edge systems that power our 2026 roadmap. Join our elite team to architect scalable, secure, and high-performance solutions for next-generation AI applications.
As a pioneer in quantum-resistant machine learning, you'll transform theoretical frameworks into production-ready infrastructure. This role offers unmatched opportunities to influence industry standards while working alongside Nobel Prize-winning researchers.
Responsibilities
- Design and implement distributed ML infrastructure supporting 10,000+ GPU clusters
- Develop quantum-safe encryption protocols for AI model deployment
- Optimize federated learning systems across global edge networks
- Create real-time MLOps pipelines for autonomous decisioning
- Architect ethical AI governance frameworks with embedded bias detection
- Lead cross-functional teams in implementing neuromorphic computing solutions
- Research and prototype next-gen hardware acceleration techniques
Qualifications
- 10+ years in distributed systems architecture with ML specialization
- Expertise in Kubernetes, Ray, and Spark at petabyte-scale
- PhD in Computer Science or equivalent research experience
- Published papers in NeurIPS/ICML on distributed ML
- Proficiency in Rust/C++ for high-performance computing
- Experience with quantum-resistant cryptography (CRYSTALS, SPHINCS+)
- Certified in AWS/GCP/Azure with deep ML specialization