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Senior Software Engineer

icon building Company : Multicoreware
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Senior Software Engineer

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, prioritise and execute tasks based on requirement. 
• Implementation, Review, Debug code, Product Delivery and quick turn around. 
• 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+ years 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. 

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