Intelligent Infrastructure Engineer

📋 Description

• Design and operate infra platforms for large-scale AI training and inference.
• Manage GPU clusters, distributed training, and scheduling for ML workloads.
• Improve reliability, performance, and scalability of AI infrastructure.
• Develop automation tools using Python and Go or C++.
• Configure Kubernetes, Slurm, Ray for ML workloads.
• Implement strong software practices: testing, CI/CD, code reviews.

🎯 Requirements

• Bachelor's or Master's in CS, Engineering, or related field.
• 6+ years in infrastructure, platform engineering, or HPC.
• Hands-on with GPU clusters or large-scale ML infra.
• Python plus Go or C++ systems programming.
• Kubernetes, Slurm, Ray, or similar schedulers.
• Linux internals, networking, and high-performance storage.

🎁 Benefits

• Competitive salary: $100k–$150k per year
• Fully remote within the United States
• Full-time direct employment
• Work on advanced AI infrastructure and ML systems
• Career growth opportunities
• Exposure to cloud, AI, and distributed computing