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ML Modeling Engineer

Google

Location

Bengaluru, Karnataka, India

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in C or C\+\+ or Python programming.
  • 8 years of experience in reference model development and silicon design trade-off.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs.

About The Job

Be part of a 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.

As a Silicon Engineer, you will work closely with architects, implementation designers, verification engineers and software engineers for providing bit-accurate system c-models and specifications. You will have experience in ML/AI accelerator development and a good understanding in SoC development along with software design expertise.

In this role, you will help develop c-model architecture for ISP ML accelerators. You will create and maintain a software environment for reference ML accelerator c-models. You will develop a system model that expands the team to work across organizations for ML accelerator integration.

Responsibilities

  • Create and drive software architecture for ML accelerator.
  • Implement, modeling, analyzing and testing ML accelerator.
  • Develop software environment for ISP ML accelerator development and simulation.
  • Lead on delivery of ISP ML accelerator c-models for implementation, verification.
  • Collaborate with partner teams to integrate the ML accelerator into compiler software environment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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