Senior Vision Systems Engineer

Job description

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.