Senior HPC Cluster Engineer (AI)

TL;DR

Senior HPC Cluster Engineer (AI): Enhancing and optimizing core components of a hyperscaler platform, focusing on GPU computing, InfiniBand networks, and the KVM/QEMU stack. Focus on analyzing, troubleshooting, and improving infrastructure to support new hardware and fine-tuning system performance in multi-GPU, HPC environments.

Location: Prague, Czech Republic, or remote from Europe

Company

hirify.global is leading a new era in cloud computing to serve the global AI economy, offering tools and resources for solving real-world challenges without massive infrastructure costs.

What you will do

• Tune the performance of GPU clusters and InfiniBand networks for optimal operation in HPC and GPU-based environments.
• Analyze and troubleshoot the root cause of issues related to GPUs and InfiniBand networks.
• Integrate new hardware into the existing infrastructure, including support for new GPU hardware through Kubernetes, QEMU, and KVM.
• Enhance automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
• Configure and manage GPU devices and InfiniBand fabrics.

Requirements

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).
• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

Nice to have

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.
• Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).
• Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.
• Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.
• Understanding of QEMU/KVM virtualization and managing virtualized environments.
• Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.
• Familiarity with collective communication libraries like MPI and NCCL for distributed computing.

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within hirify.global.
• Flexible working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.