Senior Vision Systems Engineer — Edge AI for Embedded

Luxoft; Poland; Remote; PLN 260,000 - 420,000; Full time

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 running embedded platforms.

You will lead real-time CV pipelines, collaborate with ISP/sensor teams, and deploy ML models to edge devices, driving performance, power, and robustness across SoCs in Linux/Android environments.

You will mentor engineers, ensure robust testing, and contribute to mass production readiness.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• 7–10+ years of experience in computer vision and image processing.
• Proven experience shipping at least one consumer product with embedded vision/AI.
• Strong C++ (C++14/17/20) with performance optimization.
• 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 with embedded Linux or Android systems.
• Strong debugging and performance profiling skills.
• Experience optimizing for power and thermal constraints.

Responsibilities

• Design and implement advanced CV 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.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
• Mentor engineers and review architecture/design proposals.
• Support product bring-up and mass production readiness.

Skills

C++ optimization

OpenCV

PyTorch

TensorFlow

ONNX

Embedded Linux

Performance profiling

CUDA/OpenCL

Education

Bachelor's or Master's degree in Computer Science or Electrical Engineering

Tools

TensorRT

ONNX Runtime

CUDA

OpenCL

Job description

Luxoft in Poland seeks a hands-on technical leader to design, optimize, and productize high-performance computer vision and AI pipelines for consumer devices running embedded platforms.

You will lead real-time CV pipelines, collaborate with ISP/sensor teams, and deploy ML models to edge devices, driving performance, power, and robustness across SoCs in Linux/Android environments.

You will mentor engineers, ensure robust testing, and contribute to mass production readiness.