Vision Systems Architect

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.

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.

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.