Hardware Validation Engineer

About the role

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. We are seeking a motivated and hands-on engineer to support post-silicon validation, system bring-up, and hardware debugging in a lab environment.

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
• 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

Requirements

• 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