Qualifications

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field or equivalent practical experience.
  
• 4 years of experience working in a hardware and firmware design technical environment, or 3 years of experience with an advanced degree.
  

Preferred qualifications:

• 5 years of industry experience in system architecture of multimedia systems, such as GPUs, Video Codecs, or related areas.
  
• Experience with optimizing models for serving/inference in production use cases.
  
• Experience with either vision, imaging, AR/VR, algorithms, or language models.
  
• Experience implementing, modeling, analyzing, and testing algorithms to enable compelling AR/VR use cases.
  
• Experience in Scripting, Perfetto analysis and Silicon Power measurements.
  

Summary

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field or equivalent practical experience.
  
• 4 years of experience working in a hardware and firmware design technical environment, or 3 years of experience with an advanced degree.
  

Description

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google\'s direct-to-consumer products. You\'ll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

Responsibilities

• Define and own dataflows for CUJs and collaborate with App software, Firmware, PM and UX stakeholders to define and own system requirements for CUJs.
  
• Use system-level modeling tools to model power and performance for dataflows and ensure correlation of models.
  
• Participate in enhancing system-level modeling tools to be able to model new scenarios.
  
• Use profiling tools on Silicon (power and performance) and use the results and knowledge of workloads to create new models.
  
• Ensure system modeling provides guidance back to product requests and design choices by software and hardware teams and also provides guidance to partners on their roadmap.
  

Application instruction

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