Vision Systems Architect

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Belgrade, Serbia

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Software/System Architecture

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Automotive Industry

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18/03/2026

Req. VR-121786

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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
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Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).

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Translate product and UX requirements into scalable technical solutions.

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Define image quality strategy aligned with AI and user experience goals.

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Architect reusable, modular CV/ML frameworks across multiple product SKUs.

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Drive system-level trade-offs across performance, power, cost, and thermal limits.

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Define AI model lifecycle strategy from training to OTA deployment.

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Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).

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Define system KPIs: latency, FPS, power, memory, boot time, and robustness.

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Lead technology selection for inference engines, frameworks, and hardware platforms.

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Guide SoC bring-up and performance validation for vision pipelines.

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Establish coding standards, modularization strategy, and long-term maintainability.

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Identify technical risks early and define mitigation strategies.

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Collaborate with hardware, ISP, Android/Linux platform, and product teams.

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Mentor senior engineers and provide architectural governance.

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Contribute to long-term vision/AI roadmap across product generations.

Skills

Must have

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Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD preferred).

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10-15+ years of experience in imaging/vision/perception systems.

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Proven experience architecting and shipping multiple consumer products with vision/AI.

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Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact).

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Strong embedded system architecture experience.

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Expert-level C++ and system-level optimization knowledge.

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Strong expertise in CV and ML system integration.

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Experience deploying optimized ML models on consumer SoCs.

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Experience with heterogeneous compute architectures.

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Experience defining system-level KPIs and validation strategies.

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Strong cross-functional leadership and communication skills.

Nice to have

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Experience with computational photography pipelines.

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Experience in AR/VR or advanced camera features.

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Experience with silicon bring-up and HW/SW co-design.

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Experience with large-scale model deployment and OTA updates.

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Experience in multi-camera or depth-sensing systems.

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Contributions to patents or technical publications.

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Experience leading architecture across multiple product generations.

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Belgrade, Serbia

Req. VR-121786

Software/System Architecture

Automotive Industry

18/03/2026

Req. VR-121786

Apply for Vision Systems Architect in Belgrade

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