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Apple GPU Post-Silicon Engineering Program Manager 
United States, Texas, Austin 
202527837

Yesterday
We are looking for a dedicated Engineering Program Manager or a technical leader who is passionate about planning for and leading silicon bring-up and debug of ground breaking and innovative designs. You will use your creativity, technical knowledge and social skills to drive multi-functional teams to tackle complex technical problems under tight schedule constraints. The GPU Post-Silicon Engineering Program Manager will be working closely with the GPU Silicon Validation, Architecture, Productization teams as well as SoC, software, system, and others to resolve silicon issues blocking product development. As Post-Silicon EPM, you will be responsible for identifying any process/methodology gaps, addressing those working with Validation teams, taking GPU from initial silicon bring up through production release and beyond. You will also closely work with Design/DV, and Physical Design teams.
In this role, you will be working with the GPU team to drive post-silicon planning, bringup and debug activities. This will involve some or all of the following: - Focused issue reporting and communication of program risks & status in multi-functional and executive forums - Materials management (parts, boards, etc.)
  • BS in Engineering subject area and 10+ years proven experience.
  • Validated experience in GPU or SOC validation
  • Meaningful experience in technical leadership and/or project management experience
  • Proven experience in GPU or SOC validation, preferably as a lead/manager
  • Experience with end-to-end silicon bringup, validation and drive towards production
  • Meaningful experience in technical leadership and/or project management experience
  • Ability to work collaboratively across multiple sites and multi-functionally throughout the entire organization
  • Able to build trust and lead through influence in a highly complex matrix organization
  • Comfortable navigating tough situations, juggling priorities and managing constraints while running complex, fast-paced, programs
  • Driven to continuously improve processes, methodologies and tools
  • Strong communication and executive presentation skills, ability to articulate complex problems in simple and easy to understand manner
  • Strong time and task management skills with consistent attention to detail
  • GPU architectural experience is an advantage, but not required
  • Exposure to software driver and HW/SW interactions
  • Reasonable understanding of Power and Perf tradeoffs