Technical Program Manager-DDR Shift Left

Advanced Micro Devices, Inc•Austin, TX

29d•Hybrid

About The Position

The Memory Subsystem team is seeking a Program Manager to support execution planning, cross-functional coordination, and delivery readiness across Memory Subsystem and Shift Left teams. This role focuses on enabling structured execution across pre-silicon, emulation, SoC integration, firmware-driven readiness, lab alignment, and bring-up support. You will help ensure the Memory Subsystem and Shift Left teams have clear plans, visibility into risks, aligned ownership, and disciplined execution across multiple concurrent programs. This includes tracking AI-assisted engineering adoption as a first-class execution metric, given the team's strong and growing use of AI development tools across RTL, verification, and debug workflows. You will partner closely with engineering leaders, technical leads, firmware teams, SoC teams, emulation teams, lab teams, and external partners to align milestones, dependencies, risks, and deliverables. This role emphasizes technical program execution in addition to planning and coordination. You will work closely with engineering teams to translate complex technical activities into actionable plans, commitments, and leadership-ready status updates. You are expected to actively use AI tools to accelerate program management deliverables — generating status summaries, synthesizing cross-team updates, and automating reporting and tracking mechanisms.

Requirements

Program manager with strong technical experience and a demonstrated ability to support complex semiconductors, SoC, firmware, platform, or system-level engineering programs.
Experience collaborating across engineering disciplines and understanding technical dependencies well enough to identify risks, clarify ownership, and facilitate resolution.
Ability to create structure and alignment in evolving technical environments and support teams across changing priorities, multiple locations, and concurrent programs.
Embrace AI as a force-multiplier for program execution — using AI tools to compress reporting cycles, improve data-driven visibility, and free up time for higher-value coordination.
Defining execution plans, milestones, deliverables, and closure criteria
Driving cross-functional alignment across engineering, firmware, SoC, emulation, lab, and platform teams
Identifying schedule risks, resource constraints, dependency gaps, and execution blockers
Translating complex technical status into clear leadership summaries — including leveraging AI tools to draft, synthesize, and refine executive-ready updates
Creating operating mechanisms that improve visibility, accountability, and execution effectiveness, including AI-assisted dashboards and automated tracking
Facilitating issue resolution through clear ownership and follow-up
Supporting distributed teams across multiple sites and time zones
Tracking and reporting AI-tool adoption and productivity impact as part of program readiness and continuous improvement metrics
Execution-focused program leader who helps technical teams achieve consistent delivery objectives.
Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, Business, a related technical field, or equivalent relevant experience, and relevant experience; or master’s degree in electrical engineering, Computer Engineering, Computer Science, Business, or a related field, or equivalent combination of education and experience.

Nice To Haves

Experience in program management, technical program management, or engineering execution roles within semiconductors, SoC, platform, firmware, IP, hardware, or related technical development environments
Experience managing complex technical programs with multiple engineering stakeholders and cross-functional dependencies
Experience supporting execution across pre-silicon, silicon bring-up, verification, firmware, platform, or system-level engineering teams
Ability to work effectively with technical teams and understand engineering dependencies, risks, and tradeoffs
Experience supporting or leading program reviews, risk reviews, milestone checkpoints, and cross-functional execution meetings
Experience building dashboards, execution scorecards, dependency trackers, Jira/Confluence workflows, or similar planning and reporting mechanisms
Hands-on use of AI productivity tools (e.g., AI assistants for summarization, reporting, and data synthesis) to improve program management efficiency
Familiarity with AI-assisted engineering workflows and the ability to track and communicate their adoption and impact is beneficial
Familiarity with DDR, LPDDR, memory subsystems, SoC integration, firmware, BIOS, emulation, simulation, or post-silicon bring-up is beneficial
Experience supporting engineering teams working across both pre-silicon and lab environments is beneficial
Experience coordinating contractor-delivered work or external engineering partnerships is beneficial
Experience working with geographically distributed teams is beneficial
Strong communication skills with the ability to summarize complex engineering status for leadership audiences

Responsibilities

Drive program execution planning across Memory Subsystem and Shift Left activities
Coordinate milestone planning, status tracking, risk management, and dependency resolution across multiple memory subsystem programs
Partner with engineering leaders across Austin, Markham, Raleigh, firmware, SoC, lab, emulation, and platform teams
Build and maintain execution plans that connect pre-silicon readiness, Shift Left execution, firmware-driven flows, lab readiness, and post-silicon bring-up support
Track readiness across key areas including simulation, emulation, firmware execution, memory model integration, regression stability, coverage visibility, and debug resolution
Improve visibility into execution gaps, schedule risks, resource constraints, and cross-team dependencies
Drive structured communication for weekly execution reviews, program checkpoints, and leadership updates, using AI tools to accelerate the generation and synthesis of status content
Support Shift Left planning across multiple concurrent programs, including execution workflows, scenario expansion, debug readiness, and SoC integration readiness
Partners with engineering managers and technical leads to define measurable deliverables, ownership, and closure criteria
Support coordination of contractor-delivered work and external partnerships aligned with Memory Subsystem priorities
Create clear, concise, executive-ready status summaries for senior leadership and cross-functional stakeholders, applying AI-assisted drafting and data synthesis to improve speed and consistency
Identify process gaps and drive improvements in planning, tracking, reporting, and escalation mechanisms, including opportunities to apply AI and automation to reduce manual effort
Track and report team AI-adoption metrics (participation, tooling usage, productivity impact) and help drive continued AI enablement across Memory Subsystem and Shift Left teams
Support execution across multiple locations, including alignment between Shift Left, lab, and UU execution activities