MulticoreWare - Senior Software Engineer - Machine learning

4 weeks ago

Chennai India MulticoreWare Inc Full time

Job Description Job Description - Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. - Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. - Performance optimization for inferencing the LLM Models in customized hardware with various layer types including transformer, encoder-decoder, etc based models. - Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. - Develop tools and applications by producing clean, efficient code. - Identify, prioritize and execute tasks based on requirement. - Implementation, Review, Debug code, Product Delivery and quick turn arounds. - Collaborate with team to brainstorm and create new products. - Mentor fresh joiners and foster team culture. Must-Have - BE/BTech/MS/MTech graduates with Computer science Engineering with 4+ yrs of experience. - Solid programming experience in C/C++ with proven experience as Senior Software Engineer. - Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. - Extensive experience in software development and project management. - Strong analytical and problem-solving skills. - Adaptable to execute complex tasks, under tight schedules and dynamic conditions. - Familiarity with various operating systems (Linux, Mac OS, Windows). - Ability to work independently and manage a team. - Excellent organizational and leadership skills. - Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have - Experience in managing team size of 4 or more. - Experience Working in an Agile Environment. - Experience in using automated testing frameworks. (ref:hirist.tech)

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