Hardware Solutions Engineer - AI/HPC Infrastructure

About the role

AMAX is an IT infrastructure and engineering company that designs, customizes, manufactures and deploys advanced computing solutions for AI, HPC and enterprise use cases. As a Hardware Solutions Engineer, you will bridge customer requirements with engineering execution, shaping customized server and infrastructure solutions for demanding AI, HPC and enterprise workloads. The role combines solution design, technical validation, customer engagement and cross-functional delivery.

Key responsibilities

• Design, architect and implement HPC and AI/ML infrastructure, including GPU-accelerated clusters, high-speed storage and low-latency networking.
• Lead the end-to-end solution lifecycle from pre-sales architecture through integration, validation and deployment.
• Work with sales and customers to define compute, GPU topology, interconnect (InfiniBand/Ethernet) and storage architectures.
• Drive OEM server and appliance configuration, including BOM definition, firmware/BIOS tuning and thermal/power considerations.
• Collaborate with manufacturing and integration teams on system validation, rack integration, burn-in testing and production readiness.
• Deliver technical presentations, demos and POCs for AI workloads, 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 troubleshooting and performance tuning, and perform on-site or remote deployment support including commissioning and acceptance testing.
• Maintain technical documentation and interface with engineering, manufacturing and support teams to resolve complex issues.

Required profile

• Bachelor's degree in Computer Science, Electrical Engineering or a 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 Linux environments, scripting (Bash/Python) and system automation tools.
• Experience working across customers, sales and engineering/manufacturing teams.

Required skills

• High-speed interconnects (InfiniBand, RDMA, NVLink, high-performance Ethernet)
• OEM server platforms, BIOS/BMC, firmware and hardware validation
• Preferred: CUDA, Kubernetes, Slurm, Docker, PyTorch/TensorFlow, liquid cooling, rack design, MLPerf benchmarking