Eaton Corporation’s Center for Intelligent Power has an opening for Specialist Systems Engineer who is passionate about embedded system development and model based design. The Embedded Systems Engineer will be involved in developing edge intelligence solutions. In this role, the Embedded Systems Engineer will be interacting with technical leaders and experts from various business segments within Eaton. The role involves design, development, testing and deployment of intelligent solutions on edge platforms. 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 constrained controller platforms. The role requires candidate with strong systems understanding, digital signal processing, Machine learning and AI along with model based development skillset
• Responsible for design, development, testing of Simulink models, code generation, optimization and testing
• Implementation of system to component requirements, unit test cases-HIL/SIL, software integration and delivery
• Proven track record of problem solving and debugging on actual hardware
• The candidate is expected to be conversant with Agile methodologies and tools while having a track record of delivering products in a production environment
• The candidate is expected to be experienced in edge specific machine learning libraries and platforms, memory and time optimization
• Recommend, set up, integrate, and utilize development environments and frameworks as required for business and data engineering needs
• Recommend and set up appropriate performance monitoring solutions; author and implement based on the results
• Document and demonstrate solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments.
• Author high-quality, highly-performance, unit-tested code based on business and data engineering needs and participate in code reviews
• Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems.
• High level analytics ability, understanding engineering theory and principles of design
• Batchelors / Master Electronics, controls or equivalent engineering with electives/Thesis in embedded systems, model-based design
• Experience in model-based design
• Experience in embedded systems development and troubleshooting and with real-time operating systems
• Proven track record of problem solving, system integration, verification and validation
• Programming Knowledge - MATLAB, Simulink, Embedded C/C++, python
• SW Development life-cycle process & tools
• Agile development methodologies and concepts including hands on with Jira, bitbucket and confluence.
• Knowledge on software compliance metrics, standards
• Experience with Ethernet, CAN, modbus, TCP/IP
Preferred Skills:
• Basic knowledge on AI/ML, edge specific machine learning libraries
• Knowledge of IoT technologies
• Experience in Design Thinking or human-centred methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area"
"• Excellent verbal and written communication skills including the ability to effectively explain technical solutions as a part of virtual and global teams
• Good interpersonal, negotiation and conflict resolution skills
• Ability to understand academic research and apply new data science techniques
• Experience being part of larger teams with established big data platform practices, as well as smaller teams where they made a bigger impact in terms of scope.
• Experience of working with global teams work while using strong communication skills to interact with global teams.
• Innate curiosity
• Problem solving skills- Self-directed and drive to learn – 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.
• Team player- we work in small, fast-moving teams