Lead Embedded Computer Vision Engineer

• *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:**

We prioritize candidates located near Turin, but we are also open to considering fully remote profiles across Italy.

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