AI Hardware Validation Specialist (NVIDIA GPUs)

Role description

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; 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.