We are seeking a Vision Systems Architect in Dubai to own the end-to-end vision and AI architecture for consumer devices. This role defines scalable, power-efficient, and production-ready imaging and perception systems across product lines, driving technical direction across sensor, ISP, CV, ML, and platform integration.
About the Role – Vision & AI Architecture for Consumer Devices
Core Focus: End-to-end vision system architecture from sensor through ISP to CV/ML and application layer
Compute Architecture: Heterogeneous compute utilization across CPU/GPU/NPU/DSP
AI Lifecycle: Model strategy from training through OTA deployment
System KPIs: Latency, FPS, power, memory, boot time, and robustness
Cross-Functional Scope: Hardware, ISP, Android/Linux platform, and product teams
Career Growth & Technical Leadership Impact
Strategic Location: Dubai – a growing hub for advanced consumer electronics and AI development
Architectural Ownership: Own the vision/AI roadmap across multiple product generations
Mentorship Role: Provide architectural governance and mentor senior engineers
Career Growth: Shape long-term technical direction for imaging and perception at the architect level
Position Overview
This Vision Systems Architect role defines and owns end-to-end vision system architecture, translating product and UX requirements into scalable technical solutions. You will define image quality strategy, architect reusable CV/ML frameworks across product SKUs, drive system-level trade-offs across performance, power, cost, and thermal limits, define AI model lifecycle strategy, architect heterogeneous compute utilization, lead technology selection for inference engines and hardware platforms, and guide SoC bring-up and performance validation for vision pipelines.
Why This Role Matters: As Vision Systems Architect, you own the complete technical vision for imaging and AI perception across consumer product lines, from sensor hardware through ML inference, architect reusable, modular CV/ML frameworks that scale across multiple product SKUs and generations, make critical system-level trade-offs balancing performance, power, cost, and thermal constraints, guide SoC bring-up and heterogeneous compute strategy across CPU/GPU/NPU/DSP, and provide architectural governance and mentorship that shapes the long-term technical direction of the organization’s vision/AI roadmap.
Key Responsibilities
Vision System Architecture
- Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer)
- Translate product and UX requirements into scalable technical solutions
- Define image quality strategy aligned with AI and user experience goals
- Architect reusable, modular CV/ML frameworks across multiple product SKUs
System Trade-offs & AI Lifecycle
- Drive system-level trade-offs across performance, power, cost, and thermal limits
- Define AI model lifecycle strategy from training to OTA deployment
- Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP)
- Define system KPIs: latency, FPS, power, memory, boot time, and robustness
Technology Selection & Validation
- Lead technology selection for inference engines, frameworks, and hardware platforms
- Guide SoC bring-up and performance validation for vision pipelines
- Establish coding standards, modularization strategy, and long-term maintainability
Risk Management & Cross-Functional Leadership
- Identify technical risks early and define mitigation strategies
- Collaborate with hardware, ISP, Android/Linux platform, and product teams
- Mentor senior engineers and provide architectural governance
- Contribute to long-term vision/AI roadmap across product generations
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD preferred)
Experience Requirements
- 10-15+ years of experience in imaging/vision/perception systems
- Proven experience architecting and shipping multiple consumer products with vision/AI
Technical Skills
- Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact)
- Strong embedded system architecture experience with expert-level C++
- Strong expertise in CV and ML system integration
- Experience deploying optimized ML models on consumer SoCs and heterogeneous compute architectures
- Experience defining system-level KPIs and validation strategies
Nice to Have
- Experience with computational photography pipelines, AR/VR, or advanced camera features
- Experience with silicon bring-up and HW/SW co-design
- Experience with large-scale model deployment and OTA updates
- Experience in multi-camera or depth-sensing systems
- Contributions to patents or technical publications
Language Requirements
- English: B2 Upper Intermediate
About This Vision & AI Architecture Opportunity
This Vision Systems Architect role sits at the intersection of imaging hardware, computer vision, and machine learning for consumer devices, based in Dubai. The position carries full ownership of vision/AI architecture across product lines, offering senior engineers the opportunity to shape technical direction, mentor teams, and drive innovation across multiple product generations.
Career Excellence: Own end-to-end vision and AI architecture for next-generation consumer devices as a senior technical leader in Dubai.
Who Should Apply?
- Senior Vision/Imaging Architects: With 10-15+ years shipping consumer AI/vision products
- Embedded Systems Experts: With expert-level C++ and heterogeneous compute experience
- CV/ML Systems Integrators: Skilled deploying optimized models on consumer SoCs
- ISP/Imaging Pipeline Specialists: Deep expertise in sensor behavior and image tuning
- Technical Leaders: Ready to mentor engineers and own multi-generation product roadmaps
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