Senior Software Engineer - Machine learning MulticoreWare Inc

4.0 - 8.0 years

0 Lacs

chennai, tamil nadu

On-site

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.,

Posted 4 days ago

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Senior Software Engineer MulticoreWare Inc

4.0 - 8.0 years

0 Lacs

chennai, tamil nadu

On-site

You will be responsible for developing a software pipeline that enables end-to-end ML Model Inference on a specific hardware accelerator, aiming to achieve maximum performance and accuracy. This will involve implementing cutting-edge deep learning layers for various model categories such as CNN, RNN, LSTM, GANs, etc using a customized inference pipeline for NN Processor. You will also work on performance optimization for inferencing the LLM Models on customized hardware, incorporating various layer types including transformer, encoder-decoder based models. It is essential to be hardware architecture aware and computation conscious to implement solutions effectively in an embedded device and maximize throughput. Additionally, you will be involved in developing tools and applications by producing clean and efficient code, identifying, prioritizing, and executing tasks based on requirements, and collaborating with the team to brainstorm and create new products. Mentoring fresh joiners and fostering team culture will also be part of your responsibilities. The ideal candidate should hold a BE/BTech/MS/MTech degree in Computer Science Engineering with a minimum of 4 years of experience. Strong programming skills in C/C++ and proven experience as a Senior Software Engineer are required. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization is essential. Extensive experience in software development, project management, strong analytical and problem-solving skills, and adaptability to execute complex tasks under tight schedules and dynamic conditions are also necessary. Familiarity with various operating systems (Linux, Mac OS, Windows), the ability to work independently, manage a team, excellent organizational and leadership skills, and working knowledge of Deep Learning frameworks (such as ONNX, TensorFlow, PyTorch, or any Hardware Accelerator Software Pipeline Experience) are must-have qualifications. In addition to the must-have requirements, experience in managing a team size of 4 or more, working in an Agile Environment, and using automated testing frameworks are considered nice-to-have qualifications.,

Posted 6 days ago

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