Staff Program Manager

QualcommSan Diego, CA
1d

About The Position

Advance the development of advanced graphics technologies and Graphic Processing Unit (GPU) cores for System on Chips (SoCs) by applying expertise in semiconductors and mircoelectronics, specifically Advanced Graphics Technology. Ensure components seamlessly integrate into a wide array of devices such as smartphones, laptops, and tablets. Coordinate engineer teams to guarantee the smooth integration of GPU IPs into final chip designs, which is vital for the optimal graphics performance of advance devices. Develop new processes and frameworks using project management best practices for efficient tracking. Explore Artificial Intelligence based solutions for program management operational efficiency and improvement, future product planning, roadmap, analysis, and AI based program report generation. Drive GPU innovation and ensure successful implementation of consumer electronics for a seamless user experience.

Requirements

  • Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and three (3) years of experience in a related occupation.
  • Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and seven (7) years of progressive experience in a related occupation.
  • Employer will accept any suitable combination of education, training or experience.

Responsibilities

  • Advance the development of advanced graphics technologies and Graphic Processing Unit (GPU) cores for System on Chips (SoCs).
  • Ensure components seamlessly integrate into a wide array of devices such as smartphones, laptops, and tablets.
  • Coordinate engineer teams to guarantee the smooth integration of GPU IPs into final chip designs.
  • Develop new processes and frameworks using project management best practices for efficient tracking.
  • Explore Artificial Intelligence based solutions for program management operational efficiency and improvement, future product planning, roadmap, analysis, and AI based program report generation.
  • Drive GPU innovation and ensure successful implementation of consumer electronics for a seamless user experience.
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