Failure Analysis and Validation Engineer

VIVA USA Inc; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Onsite work

Job summary

VIVA USA Inc. in Austin, TX seeks a Failure Analysis engineer to drive hardware and software validation for NPI and production. You will develop DOEs, bring up server platforms, and debug firmware, drivers, and power/thermal systems, delivering clear FA reports.

You will analyze logs, telemetry, and test data to identify failure signatures, build diagnostics and automated FA workflows, and collaborate across teams, with occasional travel to contract manufacturers.

Qualifications

• Bachelor's or master's in electrical/computer engineering.
• 5+ years in test, debug or validation of semiconductor assemblies.
• Strong knowledge of PCIe, memory, power management and thermal-control subsystems.
• Experience debugging firmware, drivers, OS, and hardware interactions.
• Experience with firmware tuning, PVT characterization, voltage, temperature, and frequency margining.

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 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.

Skills

EE fundamentals

GPU/CPU architecture

Platform debug

Programming: Python

C/C++

Automation

Scripting

Education

Bachelor's or Master's in EE/CE

Tools

Oscilloscopes

Logic analyzers

Multimeters

Power supplies

Thermal cameras

Job description

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

NOTES

Onsite

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