Hardware Solutions Engineer

AMAX; Cork; On-site; EUR 85,000 - 120,000; Full time

Job summary

AMAX is seeking an expert to design and implement HPC and AI/ML infrastructure, including GPU-accelerated clusters and high-speed storage. You will lead the full solution lifecycle from pre-sales through deployment in customer environments.

You will collaborate with sales and engineering to translate requirements into scalable system designs, configure OEM servers, assist with manufacturing, and deliver technical demos and POCs focused on AI workloads and HPC simulations.

Qualifications

• Bachelor's degree in CS/EE or equivalent experience.
• Hands-on with HPC clusters, AI/ML infrastructure, or GPU systems.
• Strong server architecture knowledge and high-speed interconnects.
• Experience with Linux, scripting, and system automation.

Responsibilities

• Design and implement HPC/AI infrastructure including GPU clusters and fast storage.
• Lead end-to-end solution lifecycle from pre-sales to deployment.
• Translate requirements into scalable AI/HPC designs (compute, topology, interconnect, storage).
• Configure OEM servers, BOMs, firmware tuning, and manufacturability alignment.
• Coordinate with manufacturing for rack integration, burn-in, and production readiness.
• Deliver demos, POCs, and technical presentations for AI workloads.
• Support cluster bring-up with OS provisioning, workload managers, and GPU stacks.
• Provide troubleshooting and performance tuning across compute, GPU, storage, and networking.

Skills

HPC infrastructure

AI/ML systems

GPU-accelerated

Linux

Python scripting

Bash scripting

System optimization

Interconnect NVLink

Manufacturing integration

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

CUDA

Docker

Kubernetes

Slurm

BIOS tuning

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)