about 1 month ago
Responsibilities
- Craft and develop tools, frameworks, and reporting mechanisms for system optimization.
- Streamline software for deployment across IoT devices, implementing GPU/CPU/DSPs.
- Enhance data platforms and optimize machine learning models deployed on the platform.
- Improve driver monitoring and driver assistance algorithms to boost system efficiency.
- Manage production inquiries and ensure overall application stability in production environments.
- Effectively convey highly technical results to diverse audiences.
Requirements
- Hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization.
- Exhibit exceptional attention to detail, strong analytical skills, and a creative mindset.
- Demonstrate proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python.
- Possess a solid grasp of basic statistics, probability, and concepts in machine learning and computer vision.
- Have experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
- Bring experience in embedded platforms, make files, build systems, and familiarity with Jenkins.