Sr. Technical Program Manager - Dc GPU

AMD AMD · Semiconductors · Austin, TX · Engineering

AMD is seeking a Sr. Technical Program Manager for their Data Center GPU organization, focusing on AI rack-scale solutions. The role involves defining deliverables, executing to quality goals, and delivering reliable enterprise software solutions. The candidate will manage project plans, schedules, and tasks, working with cross-functional teams and external vendors to resolve issues and ensure product objectives are met.

What you'd actually do

  1. Define, plan and drive project plans based on management and senior technical guidance.
  2. Develop and maintain program schedules by considering various components such as equipment availability, SW/FW schedules, and adjacent validation schedules
  3. Be hands-on to analyze, assign, and track detailed project tasks. Track performance against the plan of record to proactively resolve critical issues to maintain schedule.
  4. Work effectively with stakeholders outside of the CSE organization including external vendors to ensure deliverables meet or exceed requirements.
  5. Effectively manage incoming issue tickets and work with cross functional teams and internal teams to prioritize and help drive issues to resolution with all stakeholders

Skills

Required

  • technical program management
  • analytical skills
  • critical thinking
  • simplifying for efficiency
  • influencing process changes
  • stakeholder management
  • issue ticket management
  • cross-functional team collaboration

Nice to have

  • AI/ML concepts
  • low-level toolchains
  • JIRA
  • Confluence
  • PowerBI
  • Excel
  • Engineering background
  • large-scale integration
  • requirements management
  • documentation management
  • defect management
  • interpersonal skills
  • emergent conversations
  • action plans
  • self-motivated
  • organized
  • detailed-oriented
  • results-oriented
  • high-pressure environment
  • competing priorities
  • tight turnaround times

What the JD emphasized

  • rigorous testing
  • optimum performance and reliability
  • sophisticated software/hardware programs
  • critical issues
  • tight turnaround times