Job Opportunity: Senior Embedded Software Developer for Edge Machine Learning Systems
We are seeking a skilled embedded software engineer with expertise in designing and developing software for Grid Monitoring embedded systems. The ideal candidate will have experience in deploying and tuning machine learning algorithms on embedded platforms, combining ML inferences with other signals to identify faults, and creating documentation to support firmware design.
Key Responsibilities:
* Collaborate with distributed team members to develop software, resolve bugs, and provide customer support.
* Design and develop software for Grid Monitoring embedded systems using RTOS such as Zephyr, ThreadX, FreeRTOS.
* Participate in code reviews, unit and integration testing, and ensure compliance with ADI licensing practices.
Required Skills and Qualifications:
* Bachelor's degree in Electronics, Electrical, or Computer Science.
* 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 and deployment pipelines for embedded AI.
* Strong written and verbal communication skills.
About the Role:
This is an exciting opportunity to join a growing team that implements leading edge algorithms to monitor and ensure resilience of the electrical grid. The successful candidate will be responsible for designing and developing software for Grid Monitoring embedded systems, working closely with AI engineers to adapt and tune ML models for the target edge computing platform.
What We Offer:
* A collaborative and dynamic work environment.
* The opportunity to work on cutting-edge projects and technologies.
* Professional growth and development opportunities.
* A competitive compensation package.