Senior Edge Computing Specialist

2 weeks ago

Cork, Cork, Ireland beBeeMachineLearning Full time €120,000 - €140,000
Edge Machine Learning Engineer Position

The role of Edge Machine Learning Engineer at Analog Devices offers an exciting opportunity to join a growing team that implements leading edge algorithms for grid monitoring and resilience.

  • Design and develop software for Grid Monitoring embedded systems which include neural net accelerators.
  • Collaborate with AI engineers to adapt and tune machine learning models for the target edge computing platform.
  • Combine inferences from machine learning models and other signals within the embedded systems to identify and report faults or perform appropriate response actions.
  • Develop all necessary documentation to support the embedded firmware design and communicate essential concepts to the development team.
  • Participate in code reviews, improve software standards and guidelines.
  • Develop and execute software unit and integration test plans.
  • Analyze test results to ensure correct functionality and implement corrective action.
  • Interact daily with geographically distributed Silicon Designers, Embedded Software Engineers, Applications Engineers and other team members to develop software, resolve bugs and identify missing requirements.
  • Provide customer support during beta trials and post release.
  • Comply with ADI licensing practices, code origin control and documentation.
Requirements:
  • Electronics, Electrical or Computer Science graduate.
  • Minimum 5 years experience in designing and developing embedded software in C/C++ Language.
  • Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems.
  • Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI.
  • Familiarity with neural network accelerators and strategies for efficient neural network execution on such hardware.
  • Strong background in embedded software and computer architecture.
  • Excellent problem-solving and troubleshooting skills.
  • Proficient in C/C++ programming.
  • Experience in designing and developing embedded applications using RTOS such as Zephyr, ThreadX, FreeRTOS etc.
  • Experience with Git, Jira and Confluence.
  • Strong written and verbal communication skills.

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