Role : Vision Systems Architect | C/C++ | Remote India, India

Experience : 10-15 years

Note : Candidate need to travel to UAE for the first few months max 3 months for business trip.

Project Description :

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

Skills required :

- 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.

Mandate :

- C++, vision/AI, ML system integration, system architecture experience.

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.

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.

📌 Computer Vision Architect (India)
🏢 Basebiz Private
📍 India