Senior Embedded Vision Engineer: Real-Time AI for Consumer Devices (Dubai)

Luxoft; Polska; On-site; PLN 300,000 - 520,000; Full time

Benefits offered by this job

Private medical & dental care

Life insurance covered

Internal mobility program

Job summary

Luxoft is seeking a hands-on technical leader to design, optimize, and productize high-performance computer vision pipelines for consumer devices on embedded platforms. You will collaborate with ISP, sensor, and tuning teams, deploy ML models at the edge, and optimize for latency, power, and memory within production-grade environments.

The role requires 7–10+ years in computer vision, strong OpenCV and ML framework experience, and hands-on C++ coding for embedded Linux or Android platforms.

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

C++

Real-time systems

Debugging & profiling

Education

Bachelor's or Master's degree (CS/EE)

Tools

Android/Linux

Yocto

Job description

Luxoft is seeking a hands-on technical leader to design, optimize, and productize high-performance computer vision pipelines for consumer devices on embedded platforms. You will collaborate with ISP, sensor, and tuning teams, deploy ML models at the edge, and optimize for latency, power, and memory within production-grade environments.

The role requires 7–10+ years in computer vision, strong OpenCV and ML framework experience, and hands-on C++ coding for embedded Linux or Android platforms.