Technical Program Manager, AI Data Center GPUs

Apply4itjobs; Austin (TX); Presencial; USD 140.000 - 230.000; Jornada completa

Descripción de la vacante

AMD’s Austin-based team seeks a Technical Program Manager to lead AI data center and GPU cluster programs, spanning concept to execution. You will align hardware/software subsystems with CSP partners and enterprise customers, driving validation, optimization, and customer enablement.

The role requires translating complex technical detail into actionable plans, collaborating across engineering and customer teams, and delivering programs on schedule.

Formación

• Experience supporting datacenter GPU, graphics, and compute platforms in customer-facing environments.
• Strong understanding of server architecture, including remote management, network topologies, and graphics software/hardware subsystems.
• Proficiency with Linux installation, configuration, usage, and debugging.
• Experience working with virtualized environments and virtual machine setup and management.
• Familiarity with datacenter GPU software stacks such as AMD ROCm™ and/or NVIDIA CUDA.
• Knowledge of distributed communication libraries and GPU-accelerated distributed memory systems.
• Understanding of high-performance fabrics for HPC and AI workloads.
• Experience supporting or managing AI/ML workloads, frameworks, and models.
• Familiarity with site reliability engineering (SRE) best practices.
• Strong analytical, problem-solving, and organizational skills.
• Excellent verbal, written, and executive-level communication skills.
• Experience leading system-level, cross-functional technical programs.
• Proficiency with JIRA, Confluence, SharePoint, Teams, and dashboard-based reporting.
• Experience working in Agile development environments.

Responsabilidades

• Lead and manage programs supporting AMD Instinct GPU products, including customer-facing AI, graphics, and compute deployments.
• Own end-to-end AI Data Center and GPU cluster programs, from planning and validation through customer enablement and execution.
• Provide strategic technical guidance to customers on server graphics, compute platforms, virtualization, and AI/ML workloads.
• Oversee development and deployment of datacenter GPU containers and software stacks for customer testing and validation.
• Collaborate with engineering teams to identify, track, and resolve technical issues across the product lifecycle.
• Ensure new software functionality aligns with customer requirements and program objectives.
• Define, plan, and drive program plans based on management and senior technical guidance.
• Develop and manage program schedules, staffing plans, and dependencies across multi-disciplinary teams.
• Maintain the Plan of Record (POR) and hold teams accountable for milestones and deliverables.
• Track action items, manage risks, and proactively mitigate issues impacting schedule, cost, or quality.
• Establish, enforce, and refine program management processes to improve operational efficiency.
• Communicate status, risks, and escalations clearly to AMD leadership and stakeholders.
• Represent programs in executive and engineering forums, providing concise and effective updates.
• Build and maintain program management artifacts including PORs, statements of work, schedules, budgets, scope, and KPIs.
• Incorporate customer feedback to guide internal teams and improve product and program outcomes.

Conocimientos

AI/ML workloads

Program management

Linux

Virtualization

Customer-facing

Agile development

JIRA

Confluence

Executive communication

Dashboard reporting

Educación

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field

Advanced degree

Formal Project Management training; PMP certification

Herramientas

JIRA

Confluence

SharePoint

Teams

Dashboard-based reporting

Descripción del empleo

AMD’s Austin-based team seeks a Technical Program Manager to lead AI data center and GPU cluster programs, spanning concept to execution. You will align hardware/software subsystems with CSP partners and enterprise customers, driving validation, optimization, and customer enablement.

The role requires translating complex technical detail into actionable plans, collaborating across engineering and customer teams, and delivering programs on schedule.