Senior Systems Engineer - Relocation Package

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

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