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Vision Systems Architect

Luxoft·Salary not specified

Primary stack

C++

Nice to have's

Computational photography pipelinesAR/VR or advanced camera featuresSilicon bring-up and HW/SW co-designLarge-scale model deployment and OTA updatesMulti-camera or depth-sensing systemsPatents or technical publicationsArchitecture leadership across multiple product generations

Job description

About the Position

We are seeking a Vision Systems Architect to design and implement scalable vision and AI systems for consumer devices, focusing on power efficiency and performance.

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

  • 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.

We Offer

  • Competitive salary
  • Relocation friendly
  • Opportunity to work in a dynamic and innovative environment

About the Company

[Company description if present]

Application

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