Senior Engineer - CAD Customization, Engineering Automation & AI Solutions

Job Description

Creative Synergies Group Overview

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• Creative is a leading global technology services firm delivering innovative solutions that synergies our deep engineering domain expertise and Digital Engineering Services
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• Creative's global team of 1,600+ "Can-Do" engineers collaborate with our 40+ Fortune 500 clients to help them achieve their strategic and operational objectives (Including Google, Tesla, Samsung, Mercedes, Toyota, Mitsubishi, Hitachi)
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• 95% of our revenues accrue from US, Europe, Japan based customers
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• We work with clients across the global Transportation, Energy/Process, Industrial Products, Hi-Tech, Ed-Tech Industries.
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• Service Offerings:
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o Al/ML And Digital Technologies:

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Agentic AI

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GenAI Business Services

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AI/ML

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Data Analytics and Data Engineering

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Cloud Technologies

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Application Development

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Digital Platform Engineering

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Cybersecurity

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o Intelligent Connected Products:

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Edge Analytics

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Industrial And Consumer IoT

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Platform Development

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Mobile Robotics

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Vehicle Centric Electronics

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Connected Car And Telematics Solutions

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o Digital Manufacturing

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o Digital Plant Engineering

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• Founder / CEO: Dr. Mukesh Gandhi
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• Locations: Headquartered in the U.S., multiple delivery centers in India (Bengaluru, Pune, Noida), branch offices in Germany, U.K, Netherlands and Japan
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• Culture: Creative has a flat organization and an agile culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy
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Job Name: Senior Engineer - CAD Customization, Engineering Automation & AI Solutions

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Job Location: Bengaluru / Pune

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Experience Range: 5-10 Years

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Role Overview

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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.

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

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

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Educational Qualification

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

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4–10 Years' Experience in One or More Areas:

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• CAD Software Customization
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• Engineering Automation Development
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• Manufacturing Software Development
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• AI/ML Applications for Engineering
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• Digital Manufacturing Solutions
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• Industry 4.0 Projects
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Preferred Industry Experience

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

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CAD Customization (Primary Requirement)

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Hands-on experience in customization and API development for:

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

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• Feature automation
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• Model generation
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• Drawing automation
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• BOM extraction
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• Standardization checks
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• Engineering validation tools
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• Reporting automation
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Programming Skills (Mandatory)

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Strong Expertise In

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• Python
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• C#
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• VB.NET
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• VBA
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• REST APIs
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• Visual studio Code
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Preferred Skills

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• C++
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• JavaScript
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• SQL
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AI & Engineering Intelligence (Preferred)

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

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Generative AI

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• Azure/OpenAI APIs /AWS/ LLM like GPT 4.0/Titan RTC
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• Open Source LLMs/SLMs Llama And Hugging Face
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• TinyML
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• Claude APIs
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• LLM Integration
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• Knowledge Of NLP Framework And Data Pre-Processing For RAG Pipelines
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• Knowledge About Agentic AI Frameworks Like LangGraph/ Autogen
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Machine Learning

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• Scikit-Learn
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• TensorFlow
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• PyTorch (Preferred)
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Typical Use Cases

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• Drawing Review Automation
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• Engineering Rule Validation
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• Automated Design Checks
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• Engineering Knowledge Assistants
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• BOM Validation
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• Engineering Document Intelligence
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• Manufacturing Analytics
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• Predictive Quality
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Data Engineering & Analytics (Preferred)

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Knowledge of:

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• Pandas
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• NumPy
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• Data Processing Pipelines
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• Databricks And ADF On Azure Will Be A Plus
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• SQL Databases , NoSQL Databases, Data Pipelines
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• Data Visualization
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Exposure to:

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• Power BI
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• Grafana
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• Manufacturing KPI Dashboards
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Manufacturing Systems Exposure (Preferred)

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Knowledge of:

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

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

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Engineering Automation Development

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Develop intelligent software solutions for:

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• CAD Automation
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• Design Automation
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• Drawing Generation
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• BOM Creation
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• Report Generation
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• Layout Engineering
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• Robot Simulation
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• PLC Engineering Support
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Build reusable automation frameworks that improve engineering productivity and reduce manual effort.

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CAD Customization

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Develop custom applications and add-ins using:

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

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• Modelling activities
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• Drafting activities
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• Validation checks
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• Data extraction
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• Engineering standards compliance
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AI Solution Development (Preferred)

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Develop AI-enabled engineering applications including:

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• Engineering Co-pilot
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• Drawing Review Systems
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• Design Validation Tools
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• Engineering Knowledge Bots
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• Automated Documentation Systems
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• Intelligent Search & Retrieval Systems
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Leverage LLMs and Machine Learning to improve engineering decision-making and productivity.

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Manufacturing & Industry 4.0 Applications (Preferred)

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Support development of:

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• Production Analytics
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• Quality Analytics
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• Predictive Maintenance Solutions
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• Digital Manufacturing Applications
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• Engineering Data Platforms
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Integrate engineering and manufacturing data to generate actionable insights.

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Software Development & Quality

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

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Work closely with:

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• Design Teams
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• BIW Process Teams
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• Simulation Engineers
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• Controls Engineers
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• Manufacturing Teams
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• Project Managers
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• Software Developers
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Translate engineering challenges into software and AI-based solutions.

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Ideal Candidate Profile

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We Are Looking for Engineers Who Can Bridge The Gap Between:

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Engineering + Software Development + AI

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The Ideal Candidate Should Possess:

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• Strong CAD Customization Experience
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• Excellent Python Programming Skills
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• Understanding Of Manufacturing Engineering Workflows
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• Passion For Automation And AI
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• Problem-Solving Mindset
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• Ability To Independently Develop Innovative Engineering Solutions
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