ML Modeling Engineer

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.