Senior Embedded Vision & AI Engineer

Luxoft; Polska; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Private medical

Dental care

Life insurance

Internal mobility

Rotation between projects

Job summary

Luxoft is seeking an experienced Senior Embedded Vision Engineer to lead the design and optimization of high-performance computer vision and AI pipelines for consumer devices. You will ensure real-time performance, power efficiency, and robustness across embedded platforms.

The role requires hands-on development in C++ for embedded systems, collaboration with ISP/sensor teams, and deployment of ML models on edge devices with a focus on latency, memory, and thermal constraints.

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, 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.

Skills

Embedded vision

OpenCV

PyTorch

TensorFlow

ONNX

C++

Embedded Linux

Performance profiling

Power optimization

Education

Bachelor's or Master's in CS/EE

Tools

OpenCV

PyTorch

TensorFlow

ONNX

Job description

Luxoft is seeking an experienced Senior Embedded Vision Engineer to lead the design and optimization of high-performance computer vision and AI pipelines for consumer devices. You will ensure real-time performance, power efficiency, and robustness across embedded platforms.

The role requires hands-on development in C++ for embedded systems, collaboration with ISP/sensor teams, and deployment of ML models on edge devices with a focus on latency, memory, and thermal constraints.