Vision Systems Engineer

Project Description:

• Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer device - with focus on 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 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 constraint