AI/ML Accelerator Modeling Engineer, Silicon

Google; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a software engineer to join a team that develops custom silicon powering its direct-to-consumer products. You will create and maintain a robust software environment for reference ML accelerator C-models and build system models enabling cross-functional collaboration with hardware, verification, and software teams.

Candidates should have strong experience in C/C++ and Python, with a background in AI/ML accelerator development and SoC architecture, and a proven ability to

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with software development using C, C++ or Python.
• Experience in AI/ML accelerator architecture or reference C-model development.
• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in silicon engineering and performance characterization.
• Experience in reference C-model development, performance analysis, and the use of simulation frameworks and profiling tools.
• Experience with CPU or ML accelerator architectures.
• Programming proficiency in C/C++ and Python, specifically applied to system-level modeling and performance optimization.
• Exceptional problem-solving abilities and excellent communication skills, with a proven track record of dissecting complex issues and fostering cross-functional collaboration with engineering teams and leadership.

Responsibilities

• Architect and drive the software infrastructure and architecture for on-device AI/ML accelerators.
• Implement, model, analyze, and rigorously test C-models for on-device ML accelerators.
• Develop and maintain robust software environments to support ML accelerator development, testing, and simulation.
• Lead the end-to-end delivery of sophisticated ML accelerator C-models, directly supporting hardware implementation and verification efforts.
• Collaborate cross-functionally with hardware architects, design verification, firmware, and compiler teams to build cycle-approximate models for ML accelerators.

Skills

C/C++

Python

AI/ML accelerator architecture

Communication skills

Education

Bachelor's degree or equivalent in EE/CE/CS

Master's or PhD in EE/CE/CS (preferred)

Tools

Simulation frameworks

Profiling tools

Reference C-model development

SoC architecture understanding

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with software development using C, C++ or Python.
• Experience in AI/ML accelerator architecture or reference C-model development.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in silicon engineering and performance characterization.
• Experience in reference C-model development, performance analysis, and the use of simulation frameworks and profiling tools.
• Experience with CPU or ML accelerator architectures.
• Programming proficiency in C/C++ and Python, specifically applied to system-level modeling and performance optimization.
• Exceptional problem-solving abilities and excellent communication skills, with a proven track record of dissecting complex issues and fostering cross-functional collaboration with engineering teams and leadership.

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.

In this role, you will create and maintain a robust software environment for reference ML accelerator c-models. You will build system models that enable cross-functional collaboration and drive ML accelerator integration across organizations. You will work closely with hardware architects, implementation designers, verification engineers, and software teams to deliver bit-accurate system c-models and specifications. You will have proven experience in ML/AI accelerator development, a strong understanding of SoC architecture, and solid software design expertise.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Architect and drive the software infrastructure and architecture for on-device AI/ML accelerators.
• Implement, model, analyze, and rigorously test C-models for on-device ML accelerators.
• Develop and maintain robust software environments to support ML accelerator development, testing, and simulation.
• Lead the end-to-end delivery of sophisticated ML accelerator C-models, directly supporting hardware implementation and verification efforts.
• Collaborate cross-functionally with hardware architects, design verification, firmware, and compiler teams to build cycle-approximate models for ML accelerators.

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 .