Senior Engineer - Edge Intelligence

Eaton Corporation; Pune District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Eaton Corporation’s Center for Intelligent Power seeks a Senior Engineer focused on embedded system development and ML/AI for edge devices. You’ll design, test, and deploy edge intelligence models on embedded controllers, defining workloads for end-use cases and optimizing performance on constrained hardware.

Ideal candidates have strong systems knowledge, DSP, ML/AI, and model-based design skills, plus hands-on experience with MATLAB/Simulink and embedded C/C++.

Qualifications

• Bachelor's degree or higher in electronics or related field.
• 5+ years delivering production-ready embedded solutions.
• 3+ years modelling with MATLAB/Simulink and code generation.
• Experience with real-time OS, testing and HIL workflows.

Responsibilities

• Design, develop, test and optimize Simulink models and generated code.
• Work with edge ML libraries and memory/time optimization.
• Debug on actual hardware and integrate with edge platforms.
• Collaborate in Agile teams using Jira, Bitbucket, Confluence.
• Document solutions with flowcharts, diagrams, and comments.

Skills

Model based design

Embedded systems development

Real-time OS experience

MATLAB/Simulink

Embedded C/C++

Python

Software life-cycle

Jira/Bitbucket/Confluence

Ethernet/CAN/TCP-IP

Education

Bachelor’s/Master’s/PhD in Electronics or Electrical

Electronics/Controls with embedded systems focus

Tools

MATLAB/Simulink

Embedded C/C++

CAN / Ethernet / Modbus

Code generation/HIL testing

Job description

What you’ll do:

Eaton Corporation’s Center for Intelligent Power has an opening for Senior 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 working 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 definition of workloads based on end product use cases, implementation of those workload models, 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

• Responsible for design, development, testing of simulink models, code generation, optimization and testing
• The candidate is expected to be experienced in edge specific machine learning libraries and platforms, memory and time optimization
• 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
• 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.

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Qualifications:

• Bachelor’s / Master’s / PhD degree in Electronics, Electrical
• 5+ years of progressive experience in delivering technology solutions in a production environment
• 5+ years of experience in the embedded systems as a developer, with a proven track record of shipping high quality products
• 3+ years of experience with modelling tools MATLAB/simulink, automatic code generation, HIL testing
• Bachelor’s / Master / PhD Electronics, controls or Equivalent Engineering with electives/Thesis in embedded systems, model based design

Skills:

• High level analytics ability, understanding engineering theory and principles of design

Required:

• 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
• Progamming 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

Desired:

• Basic knowledge on AI/ML, edge specific machine learning libraries
• Knowledge of IoT technologies
• Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area"

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• 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
• Ablity 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.