> Markdown version of [/jobs/ext/8105-senior-vision-systems-engineer](https://www.wearedevelopers.com/jobs/ext/8105-senior-vision-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Vision Systems Engineer - **Company:** Luxoft - **Location:** Halle, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Unit Testing, C++ (Programming Language), Program Optimization, Profiling, Nvidia CUDA, Software Debugging, Linux, Linux on Embedded Systems, Image Quality, Machine Learning, OpenCV, OpenGL, OpenCL, Performance Tuning, Tensorflow, Smart Devices, Video Editing, Visual Systems, Pytorch, Yocto, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, C++14 - **Published:** May 23, 2026 - **Apply:** https://www.careerjet.be/jobad/be14704d2ea1251b6e3b446b39afc9d6b5 ## About the Role 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. ## 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., * 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [The best of two worlds - Bringing enterprise-grade Linux to the vehicle](https://www.wearedevelopers.com/videos/67-the-best-of-two-worlds-bringing-enterprise-grade-linux-to-the-vehicle) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)