Lead Engineer- Edge AI

Eaton; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Eaton in Maharashtra is looking for a Lead Engineer specializing in embedded system development. You will design, develop, and deploy ML/AI algorithms while collaborating with stakeholders to deliver high-quality products.

The ideal candidate has over 8 years of experience in embedded systems and knowledge of MATLAB/Simulink, as well as Agile methodologies. This role offers an opportunity to work with cutting-edge technologies in a dynamic environment.

Qualifications

• 8+ years of progressive experience delivering technology solutions.
• 8+ years of embedded systems development with proven track record.
• 6+ years experience with HIL testing and modeling tools.

Responsibilities

• Design and develop DSP and ML/AI models for embedded systems.
• Implement system-to-component requirements and unit test cases.
• Document and demonstrate solutions with high-quality code.

Skills

Embedded systems development

Machine Learning

Digital signal processing

MATLAB/Simulink

Python

Agile methodologies

Problem-solving

Education

Bachelor’s/Master’s degree in Electronics or Electrical Engineering

Tools

TensorFlow Lite

Jira

Bitbucket

Confluence

Job description

What You’ll Do

Eaton Corporation’s Center for Intelligent Power has an opening for Lead Engineer passionate about embedded system development, ML/AI model creation for embedded systems and model‐based design. The Edge AI Engineer will develop edge intelligence solutions, working with business technical leaders. Responsibilities include design, development, testing, and deployment of ML/AI algorithms on edge platforms/controllers. The engineer will define workloads, implement models, characterize performance, and optimize deployments on resource‑constrained controller platforms. Candidate needs strong systems understanding, digital signal processing, machine learning & AI, and model‑based development skills.

• Design, develop, test DSP and ML/AI models in Simulink, code generation, optimization, and testing.
• Experience with edge‑specific machine learning libraries and platforms, memory and time optimization.
• Implement system‑to‑component requirements, unit test cases (HIL/SIL), software integration, and delivery.
• Proven problem solving and debugging on actual hardware.
• Conversant with Agile methodologies and tools; track record of delivering products in a production environment.
• Recommend and set up appropriate performance monitoring solutions; author and implement based on results.
• Document and demonstrate solutions using flowcharts, diagrams, code comments, code snippets, and performance instruments.
• Author high‑quality, high‑performance, unit‑tested code based on business and Edge AI needs; participate in code reviews.
• Work directly with stakeholders, engineering, and test to create high‑quality solutions that solve end‑user problems.

Qualifications

• Bachelor’s/Master’s degree in Electronics, Electrical Engineering, or equivalent.
• 8+ years of progressive experience delivering technology solutions in a production environment.
• 8+ years of embedded systems development with a proven track record of shipping high‑quality products.
• 6+ years of experience with modelling tools (MATLAB/Simulink), automatic code generation, and HIL testing.
• 3+ years hands‑on experience in AI/ML, edge‑specific libraries, TensorFlow Lite, etc.

Skills

• High‑level analytics ability, understanding engineering theory and design principles.
• Experience in embedded systems development, troubleshooting, and real‑time operating systems.
• Proven track record of problem solving, system integration, verification, and validation.
• Programming knowledge: MATLAB, Simulink, Embedded C/C++, Python.
• Software development lifecycle processes and tools.
• Agile development methodologies, hands‑on with Jira, Bitbucket, Confluence.
• Knowledge of software compliance metrics and standards.
• Experience with Ethernet, CAN, Modbus, TCP/IP.

Preferred Skills

• Knowledge of IoT technologies.
• Experience in Design Thinking or human‑centered methods for customer needs.
• Excellent verbal and written communication; ability to explain technical solutions within virtual and global teams.
• Good interpersonal, negotiation, and conflict resolution skills.
• Ability to understand academic research and apply new data science techniques.
• Experience working with global teams using strong communication skills.
• Innate curiosity and self‑directed problem‑solving.
• Team player in small, fast‑moving teams.