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.