Specialist- Edge Intelligence

## What you\u2019ll do:\n\nEaton Corporation\u2019s Center for Intelligent Power has an opening for Specialist Systems Engineer who is passionate about embedded system development, ML/AI model development for embedded systems and model based design. The Edge AI Engineer will be involved in developing edge intelligence solutions. In this role, they will be interacting with technical leaders and experts from various business segments within Eaton. The role involves design, development, testing and deployment of ML/AI based intelligent algorithms on edge platforms / controllers. This role involves defining workloads based on end product use cases, implementation of those workload models, defining key primitive blocks that make up the entire workload, workloads performance characterization and optimization to deploy those in resource contrained controller platforms. The role requires candidate with strong systems understanding, digital signal processing, Machine learning and AI along with model based development skillset \n\n\u2022 Responsible for design, development, testing of DSP and ML/AI models developed in simulink, code generation, optimization and testing \n\u2022 The candidate is expected to be experienced in edge specific machine learning libraries and platforms, memory and time optimization \n\u2022 Implementation of system to component requirements, unit test cases-HIL/SIL, software integration and delivery \n\u2022 Proven track record of problem solving and debugging on actual hardware \n\u2022 The candidate is expected to be conversant with Agile methodologies and tools while having a track record of delivering products in a production environment \n\u2022 Recommend and set up appropriate performance monitoring solutions; author and implement based on the results \n\u2022 Document and demonstrate solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments. \n\u2022 Author high-quality, highly-performance, unit-tested code based on business and Edge AI needs and participate in code reviews \n\u2022 Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems.\" \n\n## Qualifications:\n\n * Batchelor\u2019s / Master\u2019s degree in Electronics, Electrical Engineering\n * 12yrs+\n\n\n\n\u2022 7+ years of progressive experience in delivering technology solutions in a production environment \n\u2022 7+ years of experience in the embedded systems as a developer, with a proven track record of shipping high quality products \n\u2022 5+ years of experience with modelling tools MATLAB/simulink, automatic code generation, HIL testing \n\u2022 High level analytics ability, understanding engineering theory and principles of design \n\u2022 Batchelors / Master Electronics, controls or equivalent engineering with electives/Thesis in embedded systems, model-based design \n\u2022 Experience in embedded systems development and troubleshooting and with real-time operating systems \n\u2022 3+ years of hands on experience on AI/ML, edge specific machine learning libraries, TensorFlow Lite, etc. \n\n## Skills:\n\n\u2022 Proven track record of problem solving, system integration, verification and validation \n\u2022 Programming Knowledge - MATLAB, Simulink, Embedded C/C++, python \n\u2022 SW Development life-cycle process \u0026 tools \n\u2022 Agile development methodologies and concepts including hands on with Jira, bitbucket and confluence. \n\u2022 Knowledge on software compliance metrics, standards \n\u2022 Experience with Ethernet, CAN, modbus, TCP/IP \nPreferred Skills: \n\u2022 Knowledge of IoT technologies \n\u2022 Experience in Design Thinking or human-centred methods to identify and creatively solve customer needs, through a holistic understanding of customer\u2019s problem area\n\n\u2022 Excellent verbal and written communication skills including the ability to effectively explain technical solutions as a part of virtual and global teams \n\u2022 Good interpersonal, negotiation and conflict resolution skills \n\u2022 Ability to understand academic research and apply new data science techniques \n\u2022 Experience being part of larger teams with established practices \n\u2022 Experience of working with global teams work while using strong communication skills to interact with global teams. \n\u2022 Innate curiosity \n\u2022 Problem solving skills- Self-directed and drive to learn \u2013 a person, who with time in his/her hands, will independently find interesting ways to push the envelope while learning new skills and growing Self and the team. \n\u2022 Team player- we work in small, fast-moving teams\n