We are seeking an experienced Vision Systems Architect to lead the design and evolution of next-generation intelligent imaging systems for innovative consumer products. This role will own the end-to-end vision architecture, spanning image sensing, ISP, computer vision, machine learning, and application integration, while driving performance, image quality, and user experience. The successful candidate will define scalable AI and vision platforms, optimize deployment on heterogeneous computing architectures, and provide technical leadership across multiple product generations in a highly collaborative, cross-functional environment.
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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.
Requirements:
- 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.
Language Requirements:
English proficiency is expected, additional language skills may be considered an asset.
