Senior Failure Analysis Engineer, Test Development

What you'll do

• Architect targeted test methods to identify hard-to-capture platform behaviors across GPU and server environments.
• Create new workload patterns and stress combinations to reveal conditions not covered by standard diagnostics.
• Build and maintain VPOD-based environments to support scalable experimentation and long-duration reproduction studies.
• Use inference and training activities as system stimuli to probe platform limits and timing sensitivities.
• Develop automation, scripting, and orchestration tools to manage workloads and analyze results across Windows and Linux.
• Interpret telemetry and logs to refine experiments and isolate specific trigger conditions for root cause analysis.
• Create AI-enabled execution flows that use internal knowledge and live inference to guide test branching.
• Translate vague symptoms from field issues into repeatable test content in collaboration with cross-functional teams.

What we're looking for

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Proven track record of developing custom test methodologies for intermittent or difficult-to-observe failure modes.
• Strong foundation in GPU and server platform behavior, including system stress interactions and stability characterization.
• Demonstrated ability to build, run, and optimize VPOD environments for large-scale failure analysis or validation.
• Hands-on familiarity with inference and training environments as controllable system stressors.
• Proficiency in Python, shell scripting, and automation development for workload orchestration and telemetry capture.
• Ability to interpret system data and debug artifacts to identify signals and guide experimental steps.
• Experience building AI-enabled test systems that incorporate internal engineering knowledge and real-time inference.