# Vision Systems Architect — Luxoft

Canonical: https://jobxdubai.com/jobs/li-4478537123-vision-systems-architect
Location: Dubai, UAE
Type: full_time · Level: lead
Monthly salary: AED 12,000 to 18,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-10-12
Apply: https://www.linkedin.com/jobs/view/vision-systems-architect-at-luxoft-4478537123?_l=en

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## Description

Working model: fully onsite from the client's office in Dubai.

Employment: official full-time employment through a DXC Legal Entity.

Why Luxoft?

We offer a comprehensive benefits package to support your health, wellbeing, and financial security:

• Visa and relocation support

• Comprehensive medical and life insurance coverage

• Family support benefits

• Education assistance for children

• Additional benefits in line with local company policies

Join us to lead the future of intelligent imaging and perception systems across cutting-edge consumer products.

We are seeking an expert who combines deep knowledge of computer vision, embedded systems, AI/ML deployment, and system architecture with the ability to influence product strategy and drive technical excellence across global engineering teams.

This is a unique opportunity to define the technology roadmap for multiple generations of AI-powered devices.

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.

Skills:

• 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 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.

Languages:

• English: B2 Upper Intermediate

Luxoft is committed to fostering a diverse and inclusive workplace.

We show fairness to all throughout our talent acquisition and management process.

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## 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.

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