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Experience
10 - 15 Years
Job Location
Education
Bachelor of Science(Computers), Ph.D/Doctorate
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & 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.
Desired Candidate Profile
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.
Company Industry
Department / Functional Area
Keywords
- Vision Systems Architect
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