Engineering Jobs in Austin, TX (Now Hiring) — 4,585 open — Page 141

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THE ROLE:

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.

 

THE PERSON:

You are a program manager with strong technical experience and a demonstrated ability to support complex semiconductors, SoC, firmware, platform, or system-level engineering programs.

You have experience collaborating across engineering disciplines and understanding technical dependencies well enough to identify risks, clarify ownership, and facilitate resolution. You help create structure and alignment in evolving technical environments and support teams across changing priorities, multiple locations, and concurrent programs. You 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.

Success in this role may include experience with:

• 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

You are an execution-focused program leader who helps technical teams achieve consistent delivery objectives.

 

KEY 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

 

PREFERRED EXPERIENCE:

• 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

 

ACADEMIC CREDENTIALS:

• 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.

 

This role is not eligible for visa sponsorship.

 

 

 

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Benefits offered are described:  AMD benefits at a glance.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

 

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.