MulticoreWare - Senior Software Engineer - Machine learning

4 days ago


Chennai, Tamil Nadu, India MulticoreWare Inc Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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.

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