Senior Embedded AI Developer

4 days ago

Cork, Cork, Ireland beBeeMachineLearning Full time €90,000 - €110,000
Job Description

Analog Devices is seeking a highly skilled Senior Software Engineer, Edge Machine Learning to join our Energy Software Team.

The ideal candidate will be responsible for designing and developing software for Grid Monitoring embedded systems which include neural net accelerators.

They will work closely with AI engineers to adapt and tune ML models for the target edge computing platform.

The successful candidate will combine ML inferences and other signals within the embedded systems to identify and report faults and/or perform appropriate response actions.

Key responsibilities include creating all necessary documentation to support the embedded firmware design and communicating essential concepts inside and outside the development team.

Additional duties include participating in code reviews, software standard and guidelines improvement, developing and executing software unit and integration test plans, analyzing test results to ensure correct functionality and implementing corrective action, and interacting daily with geographically distributed Silicon Designers, Embedded Software Engineers, Applications Engineers, and other team members to develop software, resolve bugs, identify missing requirements etc.

Customer support during Beta trials and post release is also required.

Compliance with ADI licensing practices, code origin control and documentation is expected.

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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