AI Infrastructure Engineer

Penta Consulting is a technology service provider and leading outsourced partner helping to deliver professional and managed solutions across EMEA. We are looking for a seasoned AI Infrastructure Engineer to help architect the future of AI compute. If you're passionate about building high-performance GPU environments for cutting-edge machine learning and large-scale model training, we want to hear from you.

Key Responsibilities:

• Architect multi-GPU clusters using NVIDIA/AMD platforms
• Configure CUDA environments with DGX Systems & Kubernetes Device Plugins
• Manage AI workloads across Docker, Kubernetes, and Slurm
• Optimize training/inference pipelines using DDP, FSDP, and mixed precision
• Deploy high-throughput networks (InfiniBand, RoCE v2) and data flow systems (Lustre, BeeGFS, Ceph/S3)
• Leverage NVIDIA’s AI stack: cuDNN, NCCL, TensorRT, Triton
• Benchmark performance using MLPerf and custom test suites

What You’ll Need:

• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 3–6 years in AI/ML infrastructure or HPC environments
• Deep expertise with modern GPU architectures (NVIDIA A100/H100, AMD MI300), container orchestration, and distributed systems
• Strong grasp of LLMs (GPT, LLaMA), training pipelines (LoRA/QLoRA), and scalable model optimization

Bonus Points For:

• NVIDIA Certified Professional – Data Center AI
• Certified Kubernetes Administrator (CKA)
• CCNP/CCIE Data Center credentials
• Cloud certification in AWS, Azure, or Google Cloud

Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time