Senior Software Engineer (Machine Learning)

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:? ? Knowledge in Python.? ? Experience in managing team size of 4 or more.? ? Experience Working in an Agile Environment.? ? Experience in using automated testing frameworks.