Validation engineer • usa
Develop and execute DOEs to Validate silicon-, board-, and system-level failures.Bring up server platforms and test stations to support Failure Analysis for NPI and production.Debug hardware, firmw... Show more
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The average salary range is between $ 85,008 and $ 146,340 year , with the average salary hovering around $ 104,994 year .
LOCATION: Austin, TX (ONSITE)
KEY RESPONSIBILITIES:
• Develop and execute DOEs to Validate silicon-, board-, and system-level failures.
• Bring up server platforms and test stations to support Failure Analysis for NPI and production.
• Debug hardware, firmware, driver, power, thermal, PCIe and memory Fails.
• Analyze logs, telemetry, and test data to identify failure signatures and dependencies.
• Develop and validate diagnostics, stress tests, and functional tests.
• Interface with multiple cross functional team members to Reproduce, Isolate and Root cause Failures.
• Develop automation for FA workflows.
• Configure and maintain Windows- and Linux-based server test environments.
• Document processes, technical findings, and deliver clear FA reports and reviews.
• Optimize lab workflows and test capability to reduce turnaround time and system downtime.
• Analyze large datasets, develop dashboards, and generate technical reports.
• Travel to Contract Manufacturing Sites to assist with Bring up and Training.
PREFERRED EXPERIENCE:
• Strong EE fundamentals, knowledgeable in GPU/CPU architecture, post-silicon validation, platform debug, or test development.
• 5 years of experience in Test, Debug or Validation of semiconductor assemblies.
• Strong knowledge of PCIe, memory, power management and thermal-control subsystems.
• Experience debugging firmware, drivers, operating systems, and hardware interactions.
• Experience with firmware tuning, PVT characterization, voltage, temperature, and frequency margining.
• Programming and automation experience in Python, shell scripting, C++, C#, or equivalent languages.
• Proficiency with oscilloscopes, logic analyzers, multimeters, regulated power supplies, and thermal cameras.
• Ability to interpret schematics, component datasheets, logs, telemetry, and validation data.
• Experience with GPU data-center platforms and air- or liquid-cooled infrastructure is preferred.
• Experience working with AI tools or agent-based automation to engineering workflows is preferred.
ACADEMIC CREDENTIALS:
Bachelor's or master's degree in electrical engineering, Computer Engineering, or related field
The role:
Will be working with the Failure Analysis & Validation Team
Engineers main responsibility is to understand which component is failing and analyze.
Will be responsible for training technicians.
Conduct data analysis for Failure Analysis (FA) reports.
Top Skills:
Education: Must have a BS/MS in Electrical Engineering (EE) or Computer Engineering (CE).
Strong EE fundamentals.
5+ years of experience in Test, Post-Silicon Debug, or Validation; HM is open to candidates with fewer years if they have highly relevant experience.
Post-silicon Debug or Validation experience within a semiconductor, data center, GPU, or CPU environment.
Experience debugging PCIe, memory, or thermal-related issues.
Some automation/scripting experience, preferably Python, or experience using AI tools to build engineering/automation solutions
