Job Description
Join FutureTech Dynamics at the forefront of technological innovation as we architect the AI systems that will power the next decade. As an AI Infrastructure Engineer, you'll design and implement scalable solutions to support our 2026 quantum computing roadmap. This role offers unparalleled opportunities to shape the future of AI infrastructure while working alongside world-class researchers and engineers in a dynamic, cutting-edge environment.
Responsibilities
- Design and deploy high-performance computing clusters for large-scale AI model training
- Optimize infrastructure for quantum computing integration by 2026
- Develop automated CI/CD pipelines for AI infrastructure deployment
- Implement robust monitoring and security frameworks for distributed AI systems
- Collaborate with research teams to translate algorithmic requirements into scalable infrastructure
- Lead migration strategies for legacy systems to next-gen AI platforms
Qualifications
- 5+ years in cloud infrastructure (AWS/GCP/Azure) with focus on machine learning
- Expertise in Kubernetes, Docker, and container orchestration
- Strong background in GPU/TPU optimization and distributed computing
- Experience with quantum computing concepts and hybrid quantum-classical systems
- Proficiency in Infrastructure as Code (Terraform, CloudFormation)
- PhD or MS in Computer Science, Engineering, or related field