Hardware Solutions Engineer

AMAX; Galway; On-site; EUR 90,000 - 120,000; Full time

Job summary

AMAX is seeking an experienced HPC/AI infrastructure engineer in Galway to design, architect, and implement GPU-accelerated clusters and AI/ML ecosystems. You will lead end-to-end deployment from pre-sales architecture to validation and integration in customer environments.

Responsibilities include optimizing compute/topology, interconnects, storage, and rack integration, with close collaboration to sales and manufacturing teams. Strong Linux scripting and automation are essential.

Qualifications

• Bachelor's degree in CS, EE, or related field.
• Hands-on experience with HPC clusters, AI/ML infra, or GPU-accelerated systems.
• Strong server architecture, CPU/GPU platforms, memory, storage, and networking knowledge.
• Experience with high-speed interconnects (InfiniBand, RDMA, NVLink, high-perf Ethernet).
• Familiarity with OEM server platforms, BIOS/BMC, firmware, and validation workflows.
• Understanding manufacturing and system integration processes (rack integration, burn-in, QA, deployment).
• Experience with Linux, Bash/Python, and system automation.

Responsibilities

• Design and implement HPC/AI infrastructure solutions (GPU clusters, storage, networking).
• Lead end-to-end solution lifecycle from pre-sales through deployment.
• Collaborate with sales to translate requirements into scalable AI/HPC designs.
• Configure OEM servers, BOMs, firmware tuning, and power/thermal considerations.
• Coordinate with manufacturing for validation, rack integration, burn-in, and production readiness.
• Deliver technical demos, POCs, and presentations focused on AI workloads and HPC.
• Support cluster bring-up, OS provisioning, workload managers, and GPU software stacks.
• Provide advanced troubleshooting across compute, GPU, storage, and networking subsystems.

Skills

HPC clusters

AI/ML infrastructure

Linux administration

Bash/Python scripting

Server architecture

InfiniBand/Ethernet interconnects

BIOS/BMC familiarity

Automation tools

Education

Bachelor's degree in CS or related field

Tools

Slurm

CUDA

Docker

Kubernetes

Job description

AMAX is an IT infrastructure and engineering company that designs, customizes, manufactures, and deploys advanced computing solutions for AI, HPC, and enterprise use cases. Across servers, workstations, rack systems, and OEM infrastructure, the company helps customers build computing environments that are scalable, high-performing, and reliable.

Responsibilities

• Design, architect, and implement high-performance computing (HPC) and AI/ML infrastructure solutions, including GPU-accelerated clusters, high-speed storage, and low-latency networking
• Lead the end-to-end solution lifecycle from pre-sales architecture through system integration, validation, and deployment in customer environments
• Collaborate with sales and customers to translate requirements into scalable AI/HPC system designs, including compute, GPU topology, interconnect (InfiniBand/Ethernet), and storage architectures
• Drive OEM server and appliance configuration, including BOM definition, firmware/BIOS tuning, thermal/power considerations, and manufacturability alignment
• Work closely with manufacturing and integration teams to ensure system-level validation, rack integration, burn-in testing, and production readiness for complex server appliances
• Deliver technical presentations, demos, and proof-of-concepts (POCs) focused on AI workloads (training/inference), HPC simulations, and data-intensive applications
• Support cluster bring-up and optimization, including OS provisioning, workload managers (e.g., Slurm), container platforms, and GPU software stacks (CUDA, drivers, AI frameworks)
• Provide advanced troubleshooting and performance tuning across compute, GPU, storage, and networking subsystems
• Perform on-site or remote deployment support, including rack-level integration, cluster commissioning, and acceptance testing
• Develop and maintain technical documentation, including solution architectures, integration guides, and manufacturing/test procedures
• Interface with cross-functional teams (engineering, manufacturing, support) to resolve complex system-level issues and improve product quality
• Stay current with emerging technologies in AI infrastructure, HPC architectures, GPU platforms, and data center design

Requirements

• Bachelors degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
• Hands-on experience with HPC clusters, AI/ML infrastructure, or GPU-accelerated systems
• Strong knowledge of server architecture (x86/ARM), CPU/GPU platforms (NVIDIA/AMD), memory, storage, and networking
• Experience with high-speed interconnects (InfiniBand, RDMA, NVLink, high-performance Ethernet)
• Familiarity with OEM server platforms and system integration, including BIOS/BMC, firmware, and hardware validation
• Understanding of manufacturing and system integration processes (rack integration, burn-in, QA, and deployment workflows)
• Experience with Linux environments, scripting (Bash/Python), and system automation tools
• Strong analytical, troubleshooting, and performance optimization skills across the full hardware and system stack
• Experience working across customers, sales, and engineering/manufacturing teams

Preferred Skills

• Knowledge of AI/HPC software stacks such as CUDA, Kubernetes, Slurm, Docker, and AI frameworks like PyTorch/TensorFlow
• Experience designing or deploying AI training clusters or large-scale HPC environments
• Exposure to liquid cooling, high-density rack design, or power/thermal optimization
• Familiarity with OEM/ODM workflows and contract manufacturing environments
• Experience with benchmarking and performance tuning (e.g., MLPerf, IO benchmarks, MPI workloads)