Summary
Luxoft is seeking a Senior Vision Systems Engineer for a consumer-device project in Dubai. The role involves building and optimizing real-time computer vision and AI pipelines, deploying models on embedded platforms, and integrating camera and inference systems with Android or Linux. The engineer will profile performance across CPU, GPU, NPU, and DSP, address latency, power, memory, and thermal constraints, and support product bring-up and production readiness. Applicants should have a relevant bachelor's or master's degree, 7–10+ years of computer vision or image-processing experience, and have shipped at least one consumer product with embedded vision or AI.
The posting
As published on luxoft.com. Pulled from the employer's site and shown as they wrote it.
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
- 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.