Hello, I'm Charles Quinones, Recruitment Consultant at FED IT, specializing in permanent and contract recruitment within the Information Technology sector. I'm currently recruiting for a well-established Canadian technology organization specializing in artificial intelligence infrastructure, high-performance computing (HPC), and advanced enterprise hardware solutions. The company is looking for an AI Hardware Validation Specialist to join its engineering team and play a key role in validating next-generation AI computing platforms powered by NVIDIA technologies.
Mission As part of the Engineering team, you will be responsible for validating, optimizing, troubleshooting, and supporting advanced AI-accelerated server platforms used in enterprise and high-performance computing environments. Validate and test enterprise-grade AI hardware platforms featuring NVIDIA GPUs (H200, B200 and future generations)
Execute benchmarking, stress testing, and performance analysis to assess system stability and thermal efficiency
Perform root cause analysis on GPU, memory, firmware, and system-level issues
Optimize platform performance involving NVIDIA, AMD, and Intel technologies
Support deployment and integration activities within laboratory and data center environments
Install, maintain, and troubleshoot Linux-based systems
Create automation scripts using Python and Bash for validation workflows
Collaborate with engineering teams, technology vendors, and selected customers
Produce detailed technical documentation and validation reports
Stay current on emerging AI infrastructure and hardware technologies. Your profile Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related discipline; 5+ years of experience in hardware validation, systems integration, server engineering, or related fields
Advanced Linux administration and troubleshooting skills
Strong understanding of server architecture, including CPUs, GPUs, memory, storage, and networking;
Experience scripting with Python and/or Bash
Knowledge of AI infrastructure and HPC environments
Exposure to immersion cooling or direct liquid cooling technologies is considered a robust asset
Ability to thrive in a quick-moving engineering setting
Self-starter who enjoys learning and tackling complex technical challenges.
📌 Ai Hardware Validation Specialist Nvidia Gpus Montreal (Canada)
🏢 Fed IT
📍 Canada