About the OpportunityHello, 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 SkillsStrong 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.
Not specified in the original listing.
Not specified in the original listing.