Senior Vision System Engineer
Basebiz Private Limited
Senior Vision Systems EngineerProject 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.Skills required :- 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.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. (ref:hirist.tech)
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