Lead Engineer - Digital Design

Eaton; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

The Lead Engineer at Eaton will provide technical leadership in defining and executing the Digital Design technology strategy, driving capability development to support the Digital Engineering organization's vision of achieving zero engineering lead time.

You will collaborate with Modeling & Simulation teams and product stakeholders to develop and deploy Digital Design solutions that accelerate NPI/NTI programs, foster AI/ML innovations, and advance DFSS-based execution across programs.

Qualifications

• Masters degree in Engineering; 8+ years experience with Masters or 5+ years with PhD in Modeling & Simulation and AI/ML deployment.
• Experience applying machine learning, SciML, and data-driven techniques to solve complex engineering problems and accelerate product development.

Responsibilities

• Lead Digital Design deployment for strategic programs and drive design speed and cost reduction.
• Drive capability development in AI/ML, SciML, ROM, and AI-enabled design integration for engineering models.
• Shape long-term Digital Design technology roadmap focusing on MDO, AI/ML, SciML, and Generative Design.
• Develop strategic technical proposals with Product Engineering and Digital Engineering teams.
• Scout and adopt emerging AI/ML technologies to create competitive advantages for Eaton.
• Champion DFSS adoption and execution excellence within Digital Design initiatives for NPI programs.

Skills

Multiphysics modeling

AI/ML in engineering

Design optimization workflows

Agentic AI / LLMs

Technical leadership

Cross-functional collaboration

Education

Masters degree in Engineering

Tools

ANSYS

ABAQUS

MATLAB

modeFRONTIER

iSight

VOLTA

LangChain

Azure AI

Job description

What You’ll Do

The Lead Engineer will provide technical leadership in defining and executing the Digital Design technology strategy, driving capability development to support the Digital Engineering organizations vision of achieving zero engineering lead time. Primary responsibility of this role is to lead the development of the Digital Design technology roadmap and align it with the needs of key business stakeholders. The individual will be expected to collaborate closely with cross-functional teams within the Modeling & Simulation organization, as well as with product stakeholders, to develop and deploy impactful Digital Design solutions that support key NPI and NTI programs. The role also requires identifying emerging technologies, fostering innovation, and ensuring successful adoption of digital engineering capabilities across the organization.

Job Responsibilities

• Lead Digital Design Deployment for Strategic Programs

  Serve as the Technical Lead/Project Lead for Digital Design solution development and deployment across key NPI/NTI programs. Drive initiatives that enable 2x engineering design speed, reduce product development costs, and support Product Line strategic objectives.

• Drive Advanced AI/ML Capability Development

  Lead capability development programs focused on applying advanced AI and Machine Learning techniques in engineering, including Scientific Machine Learning (SciML), Generative AI, Reduced Order Modeling (ROM), and AI-enabled vertical integration of engineering models.

• Shape the Long‑Term Digital Design Technology Roadmap

  Partner with business and technology leadership teams to define and execute the long‑term Digital Design technology roadmap. Key focus areas include: Multi‑Objective and Multi‑Disciplinary Design Optimization (MDO), AI/ML and SciML‑based hybrid models, Geometric Deep Learning, Generative Design, RAG and LLM‑based workflows for Engineering and RFQ processes.

• Develop Strategic Technical Proposals

  Collaborate closely with Product Engineering and Digital Engineering teams to develop compelling technical proposals that address business challenges and accelerate technology adoption.

• Drive Technology Scouting and Contemporary Thinking

  Continuously monitor and evaluate emerging advancements in AI/ML for physics‑based engineering applications. Identify, assess, and facilitate adoption of relevant technologies that create competitive advantages for Eaton.

• Champion DFSS Adoption and Execution Excellence

  Lead the implementation of DFSS methodologies within Digital Design initiatives for NPI programs. Mentor teams, support Green Belt reviews, and promote data‑driven decision‑making to improve project outcomes.

• Foster a Culture of Continuous Improvement

  Drive continuous improvement initiatives focused on improving Cost, Quality, and Schedule performance through effective application of ECIS tools, methodologies, and best practices.

• Mentor and Develop Engineering Talent

  Coach and mentor engineers to ensure high‑quality technical execution, foster innovation, and accelerate professional growth within the team.

• Build and Strengthen the Digital Design Ecosystem

  Represent Eaton in external forums, industry conferences, and technology consortiums. Establish and nurture collaborations with ecosystem partners, research institutions, and universities to accelerate innovation and capability development.

Qualifications

• Masters degree in Engineering
• Relevant experience: 8+ years with Masters degree / 5+ years with PhD – Demonstrated experience in Modeling & Simulation, coupled with strong expertise in AI/ML model development and deployment. Proven ability to apply machine learning, scientific machine learning (SciML), and data‑driven techniques to solve complex engineering problems and accelerate product development.

Skills

Technical Skills

Advanced Modeling & Simulation

• Expertise in physics‑based modeling and multiphysics simulation at component, subsystem, and system levels using ANSYS, ABAQUS, DIGIMAT, MATLAB, and similar tools.

Optimization & Engineering Workflows

• Experience developing integrated workflows for simulation‑driven design, multi‑objective optimization, and design exploration using modeFRONTIER, iSight, VOLTA, or equivalent platforms.

AI/ML for Engineering Applications

• Strong hands‑on experience in Machine Learning, Deep Learning, and AI‑driven engineering solutions including SciML, PINNs, Digital Twins, surrogate models, and generative AI for simulation and design optimization.

Agentic AI, LLMs & Digital Engineering

• Experience building Agentic AI, LLM, and RAG‑based solutions using Azure AI, Azure OpenAI, LangChain, LangGraph, Semantic Kernel, Vector Databases, and Knowledge Graphs to automate engineering processes.

Technical Leadership & Innovation

• Proven track record in technology innovation, patents/IP generation, project leadership, stakeholder management, and driving continuous improvement through Lean, Agile, and DFSS methodologies.

Soft Skill

• Accountability: Owns challenges and delivers results.
• Passion & Drive: Self‑motivated, proactive, and goal‑oriented.
• Collaboration: Builds relationships and works effectively across teams.
• Strategic Mindset: Aligns technology decisions with business goals.
• Problem Solving: Analyzes complex issues and delivers effective solutions.