Contractor 2 – AI Cluster Validation Engineer (Tester & Programmer) Key Responsibilities • AI Cluster Infrastructure Validation: Build, deploy, and maintain hardware and software test environments for AI cluster validation, qualification, and performance benchmarking. • Execute test plans, reproduce complex issues, collect and analyze logs, and perform first-level root cause analysis across hardware, software, networking, and system components. • Develop and enhance automated test frameworks, scripts, and tools to improve validation efficiency, coverage, and repeatability. • Collaborate with software, hardware, networking, and system engineering teams to investigate issues, validate fixes, and improve overall cluster stability, scalability, and performance. • Conduct functional, performance, stress, and reliability testing for AI/HPC cluster solutions. • Document test methodologies, configurations, results, troubleshooting procedures, and operational best practices. Basic Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. • 1+ years of experience in deploying, testing, validating, or supporting data center hardware and software systems, with expertise in one or more of the following areas: Server systems, Networking, Storage • Strong understanding of Linux operating systems, system administration, and troubleshooting. • Familiarity with data center cluster management platforms, distributed computing environments, and infrastructure validation methodologies. • Programming or scripting experience with Python, Bash, or similar languages. • Strong analytical, debugging, problem-solving, and troubleshooting skills. • Proven ability to quickly learn new technologies and adapt in a fast-paced engineering environment. • Self-motivated team player with strong communication and collaboration skills. Preferred Qualifications • Experience operating, maintaining, or supporting data center, cloud, or laboratory environments. • Familiarity with AI/HPC clusters, GPU-based systems, and high-speed interconnect technologies such as InfiniBand, RoCE, NVLink, and Ethernet fabrics. • Experience developing test automation tools, validation frameworks, or CI/CD pipelines. • Knowledge of cluster orchestration and management technologies, including Kubernetes, Slurm, virtualization platforms, or cloud infrastructure. • Experience with performance analysis, benchmarking, workload characterization, and system optimization. • Understanding of storage technologies, distributed file systems, and AI workload deployment environments.