Pixel Pipeline Architect, Android XR Ecosystem
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
- 6 years of experience in camera or ISP system architecture.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience in image processing, denoising, computer architecture, GenAI, event cameras, and super resolution techniques.
- Experience in XR (e.g., Augmented (AR)/Virtual Reality (VR)), mobile, or wearables ecosystems.
- Knowledge of image sensors, emerging technologies in computer vision, computational photography and AI on the edge.
- Ability to navigate ambiguity and manage consensus across engineering teams (e.g., Core Tech, Platform Software, Hardware NTI).
About the job
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.The Android XR Ecosystem team is the engine responsible for accelerating the mass adoption of spatial computing. To win, software and silicon must evolve as one.
In this role, you will be responsible for defining and architecting the overall architecture of camera systems across AR/XR products. You will provide thought leadership in architecting the end-to-end imaging subsystem including the platform architecture for camera systems, drives ISP system requirements, and addresses topics like camera synchronization, power delivery, and sensor roadmaps for next gen AR and XR products. You will ensure all components work together effectively to meet performance, power, and cost goals for all CUJs. You will be understanding the entire imaging pipeline, from sensor to final image/video output for human or AI consumption and cross-functional collaboration internally and externally with silicon vendors, technology partners and image sensor vendors.For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Define and document system-level and component-level requirements (e.g., creating specifications for performance, power consumption, thermal constraints), and features to support various use cases like photography, videography, multi-modal Artificial Intelligence (AI) and computer vision.
- Manage the architecture and requirements for the Image Signal Processor (ISP), covering aspects like pipeline features, image quality, throughput, and power efficiency.
- Collaborate on the selection of image sensors and other key components, trade-off analysis and influencing technology roadmaps.
- Investigate new camera technologies, algorithms, and architectures to drive innovation in future products.
- Architect the pixel processing pipeline including camera and display sub-system (e.g., image sensors, Image Signal Processor (ISP), Display pipeline blocks, end-to-end pixel data path and related hardware and software interfaces in collaboration with cross-functional stakeholders.
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