DataJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-06-30 23:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Graphics/Machine Learning Hardware IP Silicon Architect

Google · Mountain View, CA, USA

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. 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: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

  • 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.

Preferred qualifications:

  • 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.

Data & ML pay context

Based on 1,570 disclosed Data & ML salaries on RoleSuite, the role pays a median of $161K/year, with most offers between $127K and $200K (10th–90th percentile: $102K–$245K).

This posting lists $192K–$279K, above the $161K market median.

See the full Data & ML salary breakdown →
Apply →

Other roles at Google

  • Senior Network Engineer, Google Enterprise NetworkingBengaluru, Karnataka, India
  • Account Strategist, Mid-Market Sales, Google Customer Solutions (English, Japanese)Tokyo, Japan
  • Ads Solutions Engineering Manager, gTechDublin, Ireland
  • Staff Software Engineer, Cloud Platforms InfrastructureSunnyvale, CA, USA
  • Ads Solutions EngineerNew York, NY, USA
  • Staff Automation EngineerMountain View, CA, USA
  • Strategic Agency Manager, Google Customer Solutions, EMEA (German)Dublin, Ireland
  • Android Application Engineer, Google FiMountain View, CA, USA
  • Global Practice Architect, Security, Google CloudAtlanta, GA, USA
  • Product Manager II, Compute, Google CloudSunnyvale, CA, USA

More Data & ML roles

  • LiDAR Characterization & Perception Data Engineer - Mountain View, CAAeva · Mountain View, CA
  • [30060] Senior Engenheiro de Dados, BrasilCiandt · Brazil
  • SENIOR DATA ENGINEER - BEES DATA AB InBev · Campinas, Brazil
  • Associate Data Scientist Billtrust · Hamilton, Township, New Jersey
  • [job30220] Principal Data Engineer. BrazilCiandt · Brazil
  • Senior Data EngineerBabylist · Canada
  • Risk Analytics AnalystDavies · London
  • Senior Database Reliability EngineerCrunchyroll · San Francisco, CA, United States
  • Staff Applied Research ScientistSnowflake · US-CA-Menlo Park
  • GCP Data ArchitectCapco · India - Pune