AI​/ML Accelerator Modeling Engineer, Silicon

AI/ML Accelerator Modeling Engineer, Silicon

Location: Mountain View, CA, USA

Experience Level: Mid

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

• 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.

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

• 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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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