AMD

1 week ago

DCGPU Diagnostics Sr. Program Manager

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Last checked: 13 hours agoStatus: Live

Job Summary

Lead execution and delivery of complex Data Center GPU (DCGPU) programs spanning product planning, pre-silicon emulation, software development lifecycle, validation, bring-up, release, and customer delivery. Drive cross-functional alignment across global engineering and business teams, manage schedules, deliverables, dependencies, risks, and executive communication. Use AI-enabled tools and data-driven metrics to improve visibility, predictability, and decision-making while translating technical requirements into actionable plans.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Manager level

Key Responsibilities

•Lead DCGPU program execution across product planning, pre-silicon emulation, software development lifecycle, validation, bring-up, release, post-silicon execution, and customer delivery milestones.
•Own integrated program schedules, deliverables, dependencies, risks, actions, and executive communication while driving aggressive schedule execution with quality and transparency.
•Drive alignment across global cross-functional teams and influence without direct authority to ensure dependency deliverables and collaboration are not blocked.
•Identify risks early (schedule, technical, resource, customer, dependency) and drive mitigation plans, escalation paths, and closure of critical issues.
•Apply AI tools and automation for planning, status generation, risk tracking, action item management, documentation, and executive reporting; use metrics to improve predictability and decision quality.

Key Requirements

•Demonstrated experience leading complex, cross-functional programs with effective planning, execution, and stakeholder alignment.
•Strong understanding of the software development lifecycle and agile development methodologies.
•Ability to translate complex requirements and program impacts into actionable executable plans.
•Experience using data-driven approaches, automation, AI-enabled tools, and analytics to improve program visibility, risk management, and decision-making.
•Bachelor's or Master's degree in a technical discipline such as Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field (preferred).

Experience:AIHigh-performance computingData centersGPUSoftware development lifecycle

Education:Bachelor's

Skills:CommunicationStakeholder alignmentDecision-makingAccountabilityCollaboration

Tech Stack:AIAutomationAnalyticsAgile

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD