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Luxoft DXC

Senior Vision Systems Engineer

Luxoft DXC Show all offers
Praca zdalna
Expires Nov 6, 2026
27 days ago

In short

Senior Vision Systems Engineer role in computer vision/AI pipeline design for consumer devices. Requires C++ expertise, ML model optimization for edge, and embedded Linux/Android experience. Remote/Warsaw location.

Keywords

computer vision AI pipelines C++ ML models edge deployment embedded systems real-time performance image processing PyTorch TensorFlow

AI-written summary based on the listing content.

What you will do

  • 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.
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  • 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 (TF

Lite, 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.

Requirements

MUST

  • 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.
Published 2026-10-07
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