Hardware Validation Engineer

VIVA; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

VIVA USA Inc in Austin, TX is seeking a Hardware Validation Engineer (0–5 Years) to support post-silicon validation, system bring-up, and hardware debugging in a hands-on lab environment. You will work with server platforms, CPUs, and memory across validation tasks.

Responsibilities include building and bringing up systems, swapping components, debugging issues, and using Python/Linux tools and AI-assisted methods to speed analysis. Collaboration and proactive communication are valued.

Qualifications

• AAS in Electrical/Computer Engineering or related field is 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.
• 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.

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.
• Document test procedures, debug findings, and results clearly.
• Communicate progress, issues, and elevate risks as needed.
• Manage multiple tasks in a fast-paced environment.

Skills

Python scripting

OS installation

Hardware debugging concepts

Documentation skills

Problem-solving

Education

AAS in Electrical/Computer Engineering

BS/BE/MS in Electrical Engineering

Job description

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 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)
• 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

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status