Hardware Engineer

Role Overview

Aion is an enterprise AI platform providing a full-stack solution for building, fine-tuning, and deploying AI at scale. We are looking for a hardware engineer passionate about building the infrastructure that powers large-scale AI systems, including servers, GPUs, networking, and high-performance computing environments.

Responsibilities

• Design and build hardware platforms optimized for AI training and inference workloads.
• Evaluate, integrate, and validate servers, GPUs, networking equipment, and storage systems.
• Optimize compute, memory, storage, networking, and GPU performance for AI workloads.
• Build reliable and fault-tolerant hardware infrastructure and develop validation and diagnostics processes.
• Support hardware deployment and develop automation for provisioning and monitoring.
• Collaborate across hardware, software, and AI engineering teams to improve system performance.

Requirements

• 4+ years of experience in hardware engineering, systems engineering, or data center infrastructure.
• Strong understanding of server architecture, CPUs, GPUs, memory, and storage.
• Experience with AI infrastructure including NVIDIA GPUs or AMD accelerators.
• Knowledge of PCIe, NVLink, InfiniBand, and Ethernet.
• Experience with Linux systems, hardware diagnostics, and firmware updates.
• Familiarity with rack-scale deployments and data center operations.
• Knowledge of automation and scripting using Python or Bash.

Skills

• NVIDIA GPUs
• Linux
• Python
• InfiniBand
• PCIe