AR/VR SoC Power Architect — Low-Power & High-Impact

Google; San Diego (CA); On-site; USD 159,000 - 230,000; Full time

Job summary

Google is seeking a Silicon Power and Performance Architect for Pixel AR/VR to drive architectural analysis and optimizations under strict power and thermal constraints. You will assess how spatial computing workloads affect the Pixel SoC power envelope, identify bottlenecks, and propose silicon-level optimizations to maintain market leadership.

The Platforms and Devices team integrates Google’s computing platforms with first-party devices, researching technologies to enhance user interactions

Qualifications

• Bachelor’s degree or equivalent practical experience in EE/CS/Physics or related field.
• 4 years of experience in SoC architecture, power/performance modeling, or pre-silicon verification.
• Experience with low-power design methodologies or power management techniques (e.g., power gating, DVFS, low-power states).
• Experience with memory subsystems, interconnects, or data paths to DDR.

Responsibilities

• Benchmark and model AR/VR use cases against competitors to identify architectural gaps.
• Analyze end-to-end workloads to quantify impact on Pixel power consumption.
• Utilize low-power design techniques to optimize LPIs and ambient AR/VR tasks.
• Map data paths from display/sensors through SoC fabric to DDR for maximum bandwidth with minimal power.
• Collaborate with software, product, and hardware teams to translate insights into silicon requirements.

Skills

SoC architecture

Power/performance modeling

Low-power design methodologies

Memory subsystems

Communication skills

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related field

Master’s degree or PhD in Electrical Engineering, Computer Engineering, Physics, or related field

Tools

Synopsys PrimePower

ANSYS PowerArtist

Proprietary modeling frameworks

Job description

Google is seeking a Silicon Power and Performance Architect for Pixel AR/VR to drive architectural analysis and optimizations under strict power and thermal constraints. You will assess how spatial computing workloads affect the Pixel SoC power envelope, identify bottlenecks, and propose silicon-level optimizations to maintain market leadership.

The Platforms and Devices team integrates Google’s computing platforms with first-party devices, researching technologies to enhance user interactions