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# Graphics/Machine Learning Hardware IP Silicon Architect

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $192,000.0 - $279,000.0
- **Contract:** Permanent contract
- **Skills:** Microarchitecture, Image Quality, Machine Learning, Performance Tuning, Software Engineering, Alwayson, Network Switches, Application Specific Integrated Circuits, Information Technology
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5395fcc9fe2ab2c5

## About the Role

* Bachelor's degree or equivalent practical experience within ASIC Design and Hardware Architecture.
 * 10 years of work experience in ASIC Hardware architecture and silicon design., * Master's degree or PhD in Computer Science or Electrical Engineering.
 * Experience architecting and designing low power ASIC hardware IP for complex SoCs in the following areas: Graphics Processing and Machine Learning Acceleration.
 * Experience collaborating cross-functionally with Product Management, SoC architecture, IP design and verification, camera, video, Graphics/ML algorithm and software development teams.
 * Experience in architecting ambient or always-on vision hardware and workflows for ultra low power SoC applications.
 * Extensive experience in micro architecture, power and performance optimization.
 * Familiarity with interconnect/fabric, security, multi-level caching architectures.

## Description

* Define and deliver the hardware Multimedia/Graphics ASIC IP integration architecture that meet competitive power, performance, area and image quality targets, which will require owning the targets through to tape-out and product launch.
 * Collaborate with Graphics, Camera, Video, Display and ML software, system and algorithm engineers to co-develop and specify competitive hardware IP architectures for integration into complex SoCs.
 * Partner with GPU, TPU, camera ISP, video and display hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for complex SoCs.
 * Align with SoC and System/Experience architects on meeting power, performance and area requirements at the SoC level for Graphics, ML, and Multimedia use cases and experiences.

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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