Pixel Pipeline Architect, Android XR Ecosystem
Job Overview
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Date PostedApril 11, 2026
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Location
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Expiration date--
Job Description
2026-03-30T10:59:44.341Z
115377836193129158
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Diego, CA, USA; San Jose, CA, USA.
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.
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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
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.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
