Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking a visionary AI Infrastructure Architect to design, implement, and optimize next-generation computing frameworks that will power the next decade of innovation. This role combines cutting-edge cloud architecture with machine learning scalability to solve humanity's most complex challenges.
Responsibilities
- Design and implement scalable AI/ML infrastructure on AWS/GCP/Azure using Kubernetes and Terraform
- Architect quantum-classical hybrid computing pipelines for 2026-era workloads
- Optimize data pipelines processing petabytes of real-time sensor data
- Lead zero-trust security implementations for distributed AI clusters
- Develop CI/CD pipelines for ML model deployment at global scale
- Research and integrate emerging hardware (neuromorphic chips, photonic processors)
- Mentor engineers in next-gen DevOps and MLOps best practices
Qualifications
- 10+ years in cloud infrastructure with 5+ years specializing in AI/ML pipelines
- Expertise in Kubernetes, Docker, and container orchestration at enterprise scale
- Proven experience with distributed ML frameworks (TensorFlow, PyTorch, JAX)
- Certified in AWS/GCP/Azure with solutions architect credentials
- Strong background in high-performance computing and GPU optimization
- Published research or patents in quantum computing or neuromorphic systems
- Experience with edge-to-cloud AI deployment architectures
- PhD in Computer Science or equivalent practical innovation track record