Hardware Validation Engineer

Hardware Validation Engineer (0-5 Years) - Server Platforms Overview We are seeking a motivated and hands-on engineer to support post-silicon validation, system bring-up, and hardware debugging in a lab environment. This role involves working closely with server platforms, including CPUs and memory (DIMMs), while leveraging modern tools-including AI-assisted methods-to improve efficiency and troubleshooting. Key Responsibilities • Perform hardware and software validation testing on server platforms • Build, configure, and bring up systems (CPU, DIMMs, OS/software setup) • Install, swap, and validate CPUs, memory (DIMMs), and system components • Debug and triage hardware/software issues; analyze logs and identify root causes • Support hardware debugging and failure analysis in a lab environment • Utilize Python/Linux tools and AI-assisted methods to improve debug efficiency • Leverage Generative AI tools (e.g., ChatGPT, Copilot, Claude) for log analysis, scripting, and documentation • Explore AI-driven workflows to automate repetitive validation and debug tasks (nice to have) • Maintain lab inventory, systems, and equipment status • Document test procedures, debug findings, and results clearly • Communicate progress, issues, and escalate risks as needed • Manage multiple tasks in a fast-paced environment Required Qualifications • AAS in Electrical/Computer Engineering or related field (required) • BS/BE/MS in Electrical Engineering (preferred) • 0-5 years of experience in hardware validation, lab environments, or related roles • Familiarity with PC/server hardware and system architecture (DDR experience is a plus) • Experience or exposure to Windows and Linux OS installation and configuration • Basic knowledge of Python scripting or automation tools • Understanding of hardware debugging concepts and log analysis • Strong problem-solving skills and willingness to learn Preferred Skills • Experience with DDR5 and DIMM architecture • Familiarity with BIOS flashing tools (ROM burner or utilities) • Ability to read schematics and identify voltage rails, signals, and registers • Hands-on experience with lab equipment (multimeter, oscilloscope, logic analyzer) • Experience using AI tools to analyze large log datasets or accelerate debug workflows • Exposure to prompt engineering or AI-assisted engineering practices • Curiosity to adopt new tools and continuously improve productivity Key Competencies • Detail-oriented with strong documentation skills • Ability to follow procedures and work independently • Effective communication and teamwork • Adaptability in a dynamic lab environment