AI Hardware Validation Specialist

About the Opportunity
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.

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.
Key responsibilities include:


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;
Develop and execute comprehensive hardware validation plans;
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;
Validate air-cooled, direct liquid-cooled, and immersion-ready server solutions;
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.

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;
Proven hands-on expertise with NVIDIA GPU technologies;
Strong familiarity with NVIDIA tools such as CUDA, NVML, and Nsight;
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 strong asset;
Experience working for server manufacturers, system integrators, or OEM organizations is highly desirable.


Soft Skills


Strong analytical and problem-solving mindset;
Excellent troubleshooting and root-cause investigation skills;
Organized and detail-oriented documentation practices;
Ability to thrive in a fast-moving engineering environment;
Collaborative team player with a knowledge-sharing approach;
Self-starter who enjoys learning and tackling complex technical challenges.