Project Description:

Technical professional 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.

Mandatory Skills Description:

• 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 Skills Description:

• 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.

Languages:

English: B2 Upper Intermediate

📌 Senior Vision Systems Engineer (San Sebastián)
🏢 Talent
📍 San Sebastián