About this role

Vision Systems Architect

Project description

Owns the end-to-end vision and AI architecture for consumer devices. Defines scalable, power-efficient, and production-ready imaging and perception systems across product lines. Drives technical direction across sensor, ISP, CV, ML, and platform integration.

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.
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.
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.
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.

Must have
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD preferred).
10-15+ years of experience in imaging/vision/perception systems.
Proven experience architecting and shipping multiple consumer products with vision/AI.
Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact).
Strong embedded system architecture experience.
Expert-level C++ and system-level optimization knowledge.
Strong expertise in CV and ML system integration.
Experience deploying optimized ML models on consumer SoCs.
Experience with heterogeneous compute architectures.
Experience defining system-level KPIs and validation strategies.
Strong cross-functional leadership and communication skills.
Nice to have
Experience with computational photography pipelines.
Experience in 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.
Experience leading architecture across multiple product generations.
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior

Additional

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Vision Systems Architect