Quick overview
SeniorityMid Senior
Work modeHybrid
LocationAustin, TX, United States
Generative AIPrompt Engineering
Job description
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
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
- 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
- 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
- Detail-oriented with strong documentation skills
- Ability to follow procedures and work independently
- Effective communication and teamwork
- Adaptability in a dynamic lab environment
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