Validation Engineer

TechDoQuest; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

TechDoQuest in Austin, TX is seeking an experienced Failure Analysis engineer to validate silicon, board, and system failures. You will bring up server platforms, debug hardware and firmware, and analyze data to identify failure signatures.

You will build diagnostics, automate FA workflows, and maintain lab environments across Windows and Linux. Applicants should have strong EE fundamentals, experience with PCIe, memory, power and thermal subsystems, and proficiency in Python and C/C++.

Qualifications

• Strong EE fundamentals, GPU/CPU architecture, post-silicon validation, platform debug, or test development.
• Bachelor's or master's degree in electrical engineering, Computer Engineering, or related field.
• Experience with PCIe, memory, power management, and thermal-control subsystems.
• Experience debugging firmware, drivers, operating systems, and hardware interactions.
• Programming and automation in Python, shell scripting, C++, C#, or similar.

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 cross-functional teams to reproduce, isolate and root cause.
• 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 downtime.
• Analyze large datasets, develop dashboards, and generate technical reports.
• Travel to Contract Manufacturing Sites to assist with Bring up and Training.

Skills

Strong EE fundamentals

GPU/CPU architecture

Post-silicon validation

Platform debug

Test development

Automation in Python/shell/C/C++/C#

Education

Bachelor's or master's degree in electrical engineering or computer engineering

Tools

Oscilloscopes

Logic analyzers

Multimeters

Power supplies

Thermal cameras

Job description

• 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
• 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
• 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 masters degree in electrical engineering, Computer Engineering, or related