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.

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.

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. 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
- 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
- Solid 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.

📌 AI Hardware Validation Specialist (NVIDIA GPUs) (Canada)
🏢 Fed IT
📍 Canada