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.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
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
