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. Responsibilities 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. SKILLS 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.