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# Graphics/Machine Learning Hardware IP Silicon Architect

- **Company:** Google LLC
- **Location:** San Diego, 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 1, 2026
- **Apply:** https://dejobs.org/x/x/FD556E0AC70F4B2DBA46DCEB893081AC/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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.


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