Tech Stack

Description

As a Staff Software ML Engineer in System Optimization at Netradyne, you will develop tools and frameworks to optimize the performance of our driver monitoring and assistance technology. You will streamline software for IoT devices, enhance data platforms, and optimize machine learning models to improve system efficiency and stability.

Requirements

• B.E/B.Tech or M.E/M.Tech with 6+ years in software system optimization
• Proficiency in C/C++, OpenGL, CUDA, and Python
• Solid grasp of statistics, probability, ML, and computer vision
• Experience with ML frameworks: Caffe, TensorRT, OpenCL, SNPE, OpenVino, ONNX
• Experience with embedded platforms, make files, build systems, and Jenkins

Responsibilities

• Crafting and developing tools, frameworks, and reporting mechanisms for system optimization
• Streamlining software for deployment across IoT devices (GPU/CPU/DSPs)
• Enhancing data platforms and optimizing machine learning models
• Improving driver monitoring and assistance algorithms for efficiency and KPIs
• Managing production inquiries and ensuring application stability