Senior Vision Systems Engineer

Luxoft; Dubai; On-site; AED 300,000 - 420,000; Full time

Job summary

A leading tech firm in Dubai is looking for a hands-on technical leader to design and optimize high-performance computer vision and AI pipelines for consumer devices. This role demands strong C++ expertise and extensive experience in computer vision and image processing. The ideal candidate will lead the development of ML models and ensure performance and robustness across embedded platforms. If you have a passion for emerging technologies and hands-on experience in deploying consumer products, this is the position for you.

Qualifications

• 7-10+ years of experience in computer vision/image processing.
• Proven experience shipping at least one consumer product with embedded vision/AI.
• Strong debugging and performance profiling skills.
• Strong C++ expertise (C++14/17/20), including performance optimization.
• Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).
• Experience deploying ML models on embedded/edge devices.
• Experience with model optimization (quantization, pruning).
• Strong understanding of 2D/3D geometry and linear algebra.
• Experience working on embedded Linux or Android systems.
• Strong debugging and performance profiling skills.
• Experience optimizing for power and thermal constraints.

Responsibilities

• Design and implement advanced computer vision and image processing pipelines.
• Develop and deploy ML models for visual recognition and tracking.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Optimize ML models for edge deployment (quantization, pruning, distillation, hardware‑aware tuning).
• Implement performance‑critical algorithms in modern C++ for embedded platforms.
• Optimize for latency, power consumption, memory footprint, and thermal constraints.
• Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.
• Work closely with Android/Linux platform teams to integrate camera and AI pipelines.
• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Drive debugging of complex system‑level issues in production builds.
• Ensure robust unit testing and contribute to automated validation pipelines.
• Mentor engineers and review architecture/design proposals.
• Support product bring‑up and mass production readiness.

Skills

Computer vision/image processing

C++ expertise

OpenCV

Machine Learning frameworks

Embedded systems

Real-time systems

Edge deployment

Mentoring engineers

Performance optimization

Embedded Linux

Android systems

OpenCV experience

ML frameworks (PyTorch/TF/ONNX)

Education

Bachelor's or Master's degree in Computer Science or related

Tools

TFLite

TensorRT

ONNX Runtime

ONNX

Job description

Project description

hands-on technical leader responsible for designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer devices. This role ensures real-time performance, power efficiency, and production robustness across embedded platforms.

Responsibilities

• Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices.
• Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance.
• Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding.
• Optimize ML models for edge deployment (quantization, pruning, distillation, hardware‑aware tuning).
• Implement performance‑critical algorithms in modern C++ for embedded platforms.
• Optimize for latency, power consumption, memory footprint, and thermal constraints.
• Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.
• Work closely with Android/Linux platform teams to integrate camera and AI pipelines.
• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Drive debugging of complex system‑level issues in production builds.
• Ensure robust unit testing and contribute to automated validation pipelines.
• Mentor engineers and review architecture/design proposals.
• Support product bring‑up and mass production readiness.

Skills

Must have

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• 7-10+ years of experience in computer vision/image processing.
• Proven experience shipping at least one consumer product with embedded vision/AI.
• Strong C++ expertise (C++14/17/20), including performance optimization.
• Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).
• Experience deploying ML models on embedded/edge devices.
• Experience with model optimization (quantization, pruning).
• Strong understanding of 2D/3D geometry and linear algebra.
• Experience working on embedded Linux or Android systems.
• Strong debugging and performance profiling skills.
• Experience optimizing for power and thermal constraints.

Nice to have

• Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.).
• Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD.
• Experience with camera calibration and ISP interaction.
• Experience building for Android Camera HAL or Yocto‑based systems.
• Experience with AR, computational photography, or video processing.
• Experience with multi‑camera systems.
• Exposure to production validation and manufacturing constraints.