Senior Edge AI Engineer
We are seeking a Senior Edge AI Engineer to join our Energy Software Team. This is an opportunity to work with a growing team that implements leading edge algorithms to monitor and ensure resilience of the electrical grid.
The successful candidate will be a strong embedded software engineer with excellent communication skills and experience in deploying and tuning machine learning algorithms in embedded platforms.
Key Responsibilities:
* Design and develop software for Grid Monitoring embedded systems which include neural net accelerators.
* Work closely with AI engineers to adapt and tune ML models for the target edge computing platform.
* Combine ML inferences and other signals within the embedded systems to identify and report faults and/or perform appropriate response actions.
* Create all necessary documentation to support the embedded firmware design and communicate the essential concepts inside and outside the development team.
* Participate in code reviews, software standard and guidelines improvement.
* 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, identify missing requirements etc.
* 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.
Travel Required: Yes, 10% of the Time.
Equal Opportunity Employer