Hardware Validation Engineer (3–5 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 elevate 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)
- 3–5 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