Lead Engineer - Digital Design

Eaton; Hadapsar; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Eaton is seeking a Lead Engineer to provide technical leadership for the Digital Design strategy, aligning with NPI/NTI programs. You will drive capability development in AI/ML, SciML, and advanced design optimization, collaborating with Modeling & Simulation teams and product stakeholders to deploy impactful digital engineering solutions.

The role emphasizes forecasting technology roadmaps, DFSS execution, continuous improvement, and mentoring talent across the Digital Design ecosystem to

Qualifications

• Masters degree in Engineering or higher with relevant experience in Modeling & Simulation.
• Experience applying AI/ML and SciML to engineering problems and accelerating product development.

Responsibilities

• Lead Digital Design Deployment for strategic programs and drive twofold engineering design speed.
• Drive advanced AI/ML capability development across engineering teams.
• Shape the long-term Digital Design technology roadmap with cross-functional stakeholders.
• Develop strategic technical proposals addressing business challenges and adoption of new tech.
• Monitor AI/ML advancements and assess their applicability to physics-based engineering.
• Champion DFSS adoption and data-driven decision making in projects.
• Improve Cost, Quality and Schedule through ECIS-driven practices.
• Mentor engineers and build a strong Digital Design ecosystem with external collaborations.

Skills

Advanced Modeling & Simulation

AI/ML for Engineering

Machine Learning

Deep Learning

Generative AI

Digital Twins

Optimization

Geometric Deep Learning

SciML

Education

Masters degree in Engineering

PhD (optional)

Tools

ANSYS

ABAQUS

DIGIMAT

MATLAB

modeFRONTIER

iSight

VOLTA

Azure AI

LangChain

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 would include:1. Lead Digital Design Deployment for Strategic ProgramsServe 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.2. Drive Advanced AI/ML Capability DevelopmentLead 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.3. Shape the Long-Term Digital Design Technology RoadmapPartner 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 processes4. Develop Strategic Technical ProposalsCollaborate closely with Product Engineering and Digital Engineering teams to develop compelling technical proposals that address business challenges and accelerate technology adoption.6. Drive Technology Scouting and Contemporary ThinkingContinuously 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.7. Champion DFSS Adoption and Execution ExcellenceLead 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.8. Foster a Culture of Continuous ImprovementDrive continuous improvement initiatives focused on improving Cost, Quality, and Schedule performance through effective application of ECIS tools, methodologies, and best practices.9. Mentor and Develop Engineering Talent Coach and mentor engineers to ensure high-quality technical execution, foster innovation, and accelerate professional growth within the team.10. Build and Strengthen the Digital Design EcosystemRepresent 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 EngineeringRelevant 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 SkillsAdvanced Modeling & SimulationExpertise in physics-based modeling and multiphysics simulation at component, subsystem, and system levels using ANSYS, ABAQUS, DIGIMAT, MATLAB, and similar tools.Optimization & Engineering WorkflowsExperience developing integrated workflows for simulation-driven design, multi-objective optimization, and design exploration using modeFRONTIER, iSight, VOLTA, or equivalent platforms.AI/ML for Engineering ApplicationsStrong 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 EngineeringExperience 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 & InnovationProven track record in technology innovation, patents/IP generation, project leadership, stakeholder management, and driving continuous improvement through Lean, Agile, and DFSS methodologies.Soft SkillAccountability: 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.