Senior CAD Customization Engineer

Job Description:

We are seeking a highly motivated Senior Engineer - CAD Customization, Engineering Automation & AI Solutions to develop intelligent software solutions that improve engineering productivity, standardization, and digital transformation across Automotive and Manufacturing projects.

The role focuses on CAD customization, engineering automation, AI-enabled engineering tools, and smart manufacturing applications, supporting domains such as:

• BIW Engineering
• Tooling & Fixture Design
• Robot Simulation
• Manufacturing Engineering
• Layout Engineering
• PLC Engineering
• Digital Manufacturing
• Industry 4.0 Initiatives
• AI Driven Engineering Tools

The ideal candidate will possess strong programming capabilities combined with engineering domain knowledge and will be responsible for developing customised applications, automation frameworks, CAD add-ins, AI-powered engineering assistants, and data-driven productivity solutions.

Educational Qualification:

• BE / BTech / ME / MTech in:
• Mechanical Engineering
• Mechatronics
• Automation Engineering
• Computer Science
• Artificial Intelligence

Preferred Industry Experience:

• Automotive OEMs
• Automotive Engineering Services
• BIW Engineering
• Manufacturing Automation
• Industrial Engineering

Technical Skills:

CAD Customization (Primary Requirement):

Hands-on experience in customization and API development for:

• Siemens NX (NX Open)
• CATIA V5
• AutoCAD
• Process Simulate
• DELMIA
• Teamcenter Integration

Typical Development Areas:

• Feature automation
• Model generation
• Drawing automation
• BOM extraction
• Standardization checks
• Engineering validation tools
• Reporting automation

Programming Skills (Mandatory):

Strong expertise in:

• Python
• C#
• VB.NET
• VBA
• REST APIs
• Visual Studio Code

Preferred Skills:

• C++
• JavaScript
• SQL

AI & Engineering Intelligence (Preferred):

Exposure to developing and hands-on experience in AI-powered engineering solutions:

• Generative AI
• Azure/OpenAI APIs / AWS / LLM like GPT 4.0 / Titan RTC
• Open Source LLMs/SLMs Llama and Hugging Face
• TinyML
• Claude APIs
• LLM Integration
• Knowledge of NLP framework and data pre-processing for RAG pipelines
• Knowledge about agentic AI frameworks like LangGraph / Autogen

Machine Learning:

• Scikit-Learn
• TensorFlow
• PyTorch (Preferred)

Typical Use Cases:

• Drawing Review Automation
• Engineering Rule Validation
• Automated Design Checks
• Engineering Knowledge Assistants
• BOM Validation
• Engineering Document Intelligence
• Manufacturing Analytics
• Predictive Quality

Data Engineering & Analytics (Preferred):

Knowledge of:

• Pandas
• NumPy
• Data Processing Pipelines
• Databricks and ADF on Azure will be a plus
• SQL Databases, NoSQL Databases, Data Pipelines
• Data Visualization

Exposure to:

• Power BI
• Grafana
• Manufacturing KPI Dashboards

Manufacturing Systems Exposure (Preferred):

Knowledge of:

• PLC Systems
• Siemens TIA Portal
• Allen Bradley
• SCADA Systems
• MES/MOM Platforms
• Digital Manufacturing Platforms

Understanding of:

• OEE
• Cycle Time Analysis
• Manufacturing KPIs
• Production Monitoring
• Industry 4.0 Concepts

Key Responsibilities:

Engineering Automation Development:

Develop intelligent software solutions for:

• CAD Automation
• Design Automation
• Drawing Generation
• BOM Creation
• Report Generation
• Layout Engineering
• Robot Simulation
• PLC Engineering Support

Build reusable automation frameworks that improve engineering productivity and reduce manual effort.

CAD Customization:

Develop custom applications and add-ins using:

• NX Open
• CATIA APIs
• AutoCAD APIs
• Process Simulate APIs
• DELMIA APIs
• CAD SDKs

Automate:

• Modelling activities
• Drafting activities
• Validation checks
• Data extraction
• Engineering standards compliance

AI Solution Development (Preferred):

Develop AI-enabled engineering applications including:

• Engineering Co-pilot
• Drawing Review Systems
• Design Validation Tools
• Engineering Knowledge Bots
• Automated Documentation Systems
• Intelligent Search & Retrieval Systems

Leverage LLMs and Machine Learning to improve engineering decision-making and productivity.

Manufacturing & Industry 4.0 Applications (Preferred):

Support development of:

• Production Analytics
• Quality Analytics
• Predictive Maintenance Solutions
• Digital Manufacturing Applications
• Engineering Data Platforms

Integrate engineering and manufacturing data to generate actionable insights.

Software Development & Quality:

• Develop scalable and maintainable applications
• Conduct testing and debugging
• Perform code reviews
• Maintain technical documentation
• Manage software releases and version control
• Follow software development best practices

Collaboration & Project Execution:

Work closely with:

• Design Teams
• BIW Process Teams
• Simulation Engineers
• Controls Engineers
• Manufacturing Teams
• Project Managers
• Software Developers

Translate engineering challenges into software and AI-based solutions.

Skills

API, AutoCAD, Automation, C#, CAD, CATIA, Customization, DELMIA, NX, Python, REST API, Teamcenter, VB.NET, VBA