Senior Software Engineer - Machine learning

Role Overview: You will be responsible for developing a software pipeline for end-to-end ML Model Inference for a specific hardware accelerator, focusing on achieving maximum performance and accuracy. Your role will involve implementing cutting-edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using a customized inference pipeline for NN Processor. Additionally, you will be optimizing performance for inferencing the LLM Models in customized hardware with various layer types, including transformer, encoder-decoder, etc based models. Your work will require hardware architecture awareness and computation-conscious implementation of solutions in an embedded device to maximize throughput. Furthermore, you will develop tools and applications by producing clean, efficient code, collaborate with the team to brainstorm and create new products, and mentor fresh joiners to foster a team culture. Key Responsibilities: - Identify, prioritize, and execute tasks based on requirements. - Implement, review, debug code, and ensure product delivery with quick turnarounds. - Collaborate with the team to create new products. - Mentor fresh joiners and foster team culture. Qualifications Required: - BE/BTech/MS/MTech graduates with Computer Science Engineering with 4+ years of experience. - Solid programming experience in C/C++ with proven experience as a 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 of Deep Learning frameworks (such as ONNX, TensorFlow, PyTorch, or any Hardware Accelerator Software Pipeline Experience). *Note: The job description did not include any additional details about the company.,