The Graphics/Machine Learning Hardware IP Silicon Architect role at Google involves developing custom silicon solutions that enhance the performance and efficiency of Google's consumer products. The team focuses on integrating advanced hardware architectures for Graphics Processing and Machine Learning applications. This position requires collaboration with various engineering teams to ensure the successful implementation of complex SoCs. The architect will play a crucial role in shaping the future of hardware experiences for millions of users worldwide.

• 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 is preferred.
• Experience architecting and designing low power ASIC hardware IP for complex SoCs in Graphics Processing and Machine Learning Acceleration.
• Extensive experience in micro architecture, power and performance optimization.

• Define and deliver the hardware Multimedia/Graphics ASIC IP integration architecture that meets competitive power, performance, area, and image quality targets.
• Collaborate with Graphics, Camera, Video, Display, and ML software engineers to co-develop and specify competitive hardware IP architectures.
• Partner with GPU, TPU, camera ISP, video, and display hardware IP design teams to drive hardware IP architecture specifications into design implementation.
• Align with SoC and System/Experience architects to meet power, performance, and area requirements for Graphics, ML, and Multimedia use cases.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.