Project Description:
• Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer device
- with focus on real-time performance, power efficiency, and production robustness across embedded platforms.

Responsibilities:
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• Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices.
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• Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance.
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• Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding.
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• Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning).
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• Implement performance-critical algorithms in modern C++ for embedded platforms.
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• Optimize for latency, power consumption, memory footprint, and thermal constraints.
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• Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.
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• Work closely with Android/Linux platform teams to integrate camera and AI pipelines.
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• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
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• Profile and optimize performance across CPU/GPU/NPU/DSP.
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• Drive debugging of complex system-level issues in production builds.
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• Ensure robust unit testing and contribute to automated validation pipelines.
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• Mentor engineers and review architecture/design proposals.
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• Support product bring-up and mass production readiness. Mandatory Skills Description:
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• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
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• 7-10+ years of experience in computer vision/image processing.
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• Proven experience shipping at least one consumer product with embedded vision/AI.
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• Strong C++ expertise (C++14/17/20), including performance optimization.
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• Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).
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• Experience deploying ML models on embedded/edge devices.
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• Experience with model optimization (quantization, pruning).
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• Strong understanding of 2D/3D geometry and linear algebra.
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• Experience working on embedded Linux or Android systems.
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• Robust debugging and performance profiling skills.
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• Experience optimizing for power and thermal constraints. Nice-to-Have Skills Description:
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• Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.).
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• Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD.
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• Experience with camera calibration and ISP interaction.
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• Experience building for Android Camera HAL or Yocto-based systems.
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• Experience with AR, computational photography, or video processing.
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• Experience with multi-camera systems.
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• Exposure to production validation and manufacturing constraints. Languages:
• English: C1 Advanced

📌 Senior Vision Systems Engineer (India)
🏢 Luxoft
📍 India