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.
Integrate inference engines (TFLite, 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.
Skills
Must have
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.
Other
Languages
English: B2 Upper Intermediate
Work Modality:
The role involves a fly-in model with extended business trips over approximately 11 months (e.g. 2–3 months in
Dubai
followed by 2–3 weeks in the home country, then repeating). The initial contract is for 1 year, with the possibility of extension.
We offer numerous
benefits
such as:
? Flexible work schedule
Great company culture and friendly environment
Work within a fast-moving, exciting, and challenging environment
Talent development ecosystem
Luxoft Training Center services with ad-hoc leadership and technical programs
Knowledge sharing in professional communities
Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!
Regular team-building activities
Variety of discounts for our employees