Strong Senior Vision Systems Engineer (BT to Dubai)

Luxoft; Poland; On-site; PLN 220,000 - 340,000; Full time

Benefits offered by this job

Private Medical & Dental care & Life보험

Internal Mobility program - rotation

Job summary

Luxoft in Poland seeks a hands-on technical leader to design, optimize, and productize high-performance computer vision and AI pipelines for consumer devices. You will ensure real-time performance, power efficiency and production robustness across embedded platforms.

Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI/UX performance. Lead ML model deployment on edge devices and drive production-grade validation and performance profiling.

Qualifications

• 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 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 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).
• Implement performance-critical algorithms in modern C++ for embedded platforms.
• Optimize for latency, power consumption, memory footprint, and thermal constraints.
• 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

Technical leadership

Real-time systems

Debugging & profiling

Education

Bachelor's or Master's in CS/EE

Tools

OpenCV

PyTorch

TensorFlow

ONNX

CUDA/OpenCL/Vulkan

Android/Linux

Yocto

Job description

Benefits

• Private Medical & Dental care & Life Insurance covered
• Internal Mobility program - possibility of rotation between projects, locations, accounts
• ...and more!

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.
• 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.

Mandatory Skills

• 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 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 Skills

• 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.