Google-posted about 1 year ago
$150,000 - $223,000/Yr
Full-time • Mid Level
Mountain View, CA
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The Image Signal Processing Machine Learning Modeling Engineer at Google is responsible for creating and delivering software architecture for Machine Learning (ML) accelerators, specifically focusing on Image Signal Processing (ISP). This role involves implementing, modeling, analyzing, and testing ML accelerators, as well as developing the software environment for ISP ML accelerator development and simulation. The engineer will collaborate with partner teams to ensure successful integration of the ML accelerator into the compiler software environment, contributing to the advancement of technology that enhances user experiences.

  • Create and deliver software architecture for Machine Learning (ML) accelerator.
  • Implement, model, analyze and test ML accelerator.
  • Develop the software environment for Image Signal Processing (ISP) ML accelerator development and simulation.
  • Lead the delivery of ISP ML accelerator c-models for implementation and verification.
  • Collaborate with partner teams to integrate the ML accelerator into compiler software environment.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 5 years of experience in silicon engineering.
  • Experience in C, C++, or Python programming.
  • Experience in AI/ML accelerator or model development.
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.
  • Experience in reference model development and silicon design trade-off.
  • Health insurance
  • 401(k) plan
  • Paid holidays
  • Flexible scheduling
  • Professional development opportunities
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