Senior Technical Program Manager - Software – Datacenter & Enterprise AI

Advanced Micro Devices, Inc•Austin, TX

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As Technical Software Program Manager at AMD you will use your technical expertise and passion for operational discipline to manage the execution and delivery of software components for complex Data Center CPU and Enterprise AI programs. Working with stakeholders across Engineering, Business Development, Product Management you will drive the delivery of business-critical software programs that enable AMD’s CPU and GPU solutions. You will play a pivotal role in bringing innovative products to market by ensuring seamless coordination across hardware and software domains.

Requirements

Multiple, recent, years of progressive hands-on experience developing or driving execution of SW ranging from compilers, libraries and tools to SW for Enterprise AI and HPC market segments.
Experience with driving a multi-site and multi-disciplined engineering program.
Thrives in “responsibility without line authority” leadership – Role will not have direct reports but will be responsible to deliver a multi-billion dollar product driving execution through a highly matrixed organization
Precise, direct communication tailored to the audience.
Proven ability to leverage AI-driven automation tools to optimize program delivery, including streamlining of requirements management, automated testing pipelines, and cross-functional reporting to enhance operational efficiency.
Proven ability to drive multiple concurrent strategic programs, managing competing priorities across customers, platforms, and product lines.
Solid understanding of SoC architectures and common IP blocks (CPU, GPU, AI accelerators, security IP)
Exceptional communication and influence skills, capable of aligning diverse stakeholders—from engineers to executives—around complex technical and schedule decisions in ISV/OSV ecosystem.
Primary owner for clear, concise messaging of software status, risks, and decisions to internal and external senior stakeholders.
Strong analytical and problem-solving skills, including structured risk management, scenario planning, and data-driven decision making.
Bachelors or Masters degree in Computer Science or Computer Engineering preferred

Responsibilities

Own and drive software program execution of SDKs, software suites, and integrated SW solutions meet scope, quality, and schedule commitments aligned with hardware milestones.
Lead cross-functional release planning with software architects and product management.
Drive coordinated release readiness for software through core team meetings.
Report overall software execution and release status at senior leadership level and clearly communicate schedule changes, critical issues, and risks, along with mitigation and recovery plans.
Manage and own software-related escalations, setting up and running tiger teams, driving root cause and corrective actions, and ensuring timely, transparent communication to all stakeholders.
Align software roadmaps (SDKs, reference stacks, integrated solutions) with AMD's technology roadmaps (CPUs, GPUs, AI accelerators); lead migration strategies for customers on prior generations.
Support pre-design win and post-design win activities for strategic Enterprise AI and HPC accounts by providing credible software roadmaps, schedules, and feature commitments; coordinate early SDKs, evaluation kits, reference demos, and proof-of-concept implementations.