Enterprise Diagnostics Program Manager - TX, Austin, United States
Originally posted 14 April 2026 by the employer.
About the role
The Enterprise Diagnostics Program Manager drives the execution of diagnostics, debug, validation, and failure analysis programs across AMD product engineering organizations.
What you'll do
- Drive execution of multiple diagnostics, validation, debug, and engineering programs against commitments, schedules, and quality objectives. - Partner with silicon, software, platform, and product engineering teams to identify, analyze, and resolve technical issues and risks. - Translate technical requirements, product roadmaps, and engineering objectives into program plans with defined milestones and deliverables. - Establish and analyze KPIs, dashboards, and program metrics to measure progress and support data-driven decision making. - Leverage AI and advanced analytics tools to improve planning, reporting, issue identification, and operational efficiency. - Communicate program status, technical risks, mitigation strategies, and key decisions to engineering leadership, customers, and executive stakeholders.
What you'll need
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Technical background in silicon and/or software development, verification, validation, diagnostics, or system-level debugging. - Experience managing schedules, risks, dependencies, and deliverables across cross-functional engineering teams. - Capability to use data, program metrics, and KPIs to track engineering execution and quality outcomes.
Nice to have
- Experience in semiconductor product development, silicon validation, verification, diagnostics, product engineering, or failure analysis. - Proficiency in software development, scripting, automation, debugging, or system-level analysis. - Experience driving root cause investigations and resolution of hardware, software, or system-level issues. - Understanding of program management methodologies, metrics, and execution frameworks. - Experience working with global engineering teams and customer-facing stakeholders.
Skills: program management, schedules, logistics, execution, diagnostics engineering, cross-functional teams