CAD Automation Engineer| Remote

1. CAD Design and Data Structure

• Create, maintain, and improve parametric 3D models, 2D drawings, sub-assemblies, and machine-level assemblies using Autodesk Inventor.

• Define and enforce CAD standards, model templates, naming conventions, iProperties, parameter rules, drawing practices, and BOM field requirements.

• Manage design data in Autodesk Vault PDM, including metadata, revision control, lifecycle status, file relationships, and component traceability.

• Maintain a reusable component library with clear relationships between parts, sub-assemblies, machine modules, and final machine assemblies.

• Ensure CAD structures support downstream automation, configuration, and data extraction activities.

2. iLogic Automation Development

• Author and maintain iLogic rules and scripts within Autodesk Inventor to automate design workflows, parameter-driven modeling, and data extraction.

• Develop automated routines using iLogic or Inventor API to extract CAD parameters, iProperties, BOM data, drawing references, and assembly relationships.

• Build configuration-driven design scripts that reduce manual effort when specifying or adapting machine layouts from existing component libraries.

• Continuously improve and refactor iLogic scripts based on feedback from AI data pipeline validation results.

3. Design Data Export & AI Integration

• Design and maintain structured export schemas for CAD/PDM data, including part metadata, iProperties, assembly relationships, BOM structure, and drawing references.

• Export design data in machine-readable formats such as XML, JSON, CSV, and Markdown.

• Collaborate with AI and Data Pipeline engineers to define data dictionaries, field definitions, relationship logic, and ingestion requirements.

• Map part-to-assembly, assembly-to-machine, and module-to-platform relationships to support vector search, graph database ingestion, and CAD knowledge graph development.

• Validate exported data for completeness, consistency, traceability, and AI-readiness before release to downstream pipelines.

4. Design Intelligence & Part Reuse

• Develop workflows within Inventor and Vault to identify duplicate, similar, or reusable components across machine platforms.

• Support part classification by function, geometry characteristics, material, manufacturing process, interchangeability, and application context.

• Help define component standardization rules and reusable module structures for configurable machine design.

• Contribute to configuration intelligence initiatives that reduce engineering effort when specifying, quoting, and configuring grinding machines from existing assemblies.

• Track part reuse metrics and report business impact, including reduced unique part creation and reduced configuration time.

5. Cross-Functional Collaboration & Documentation

• Work with Mechanical Design, AI Engineering, and Data Pipeline teams in sprint-style cycles to refine schemas, resolve data issues, and improve automation reliability.

• Participate in design reviews and platform standardization discussions, providing the CAD, PDM, BOM, and mechanical engineering perspective.

• Prepare clear documentation for automation logic, export workflows, schema definitions, user instructions, and maintenance procedures.

• Train and support design engineers in using approved templates, metadata rules, automation scripts, and Vault practices.

• Act as the internal subject matter expert for practical Inventor/Vault automation possibilities and limitations.

• Bachelor's degree in Mechanical E

Yêu cầu công việc

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical field.

• 3+ years of hands-on experience with Autodesk Inventor for parametric 3D solid modeling, assembly design, and 2D engineering drawings.

• Practical experience with Autodesk Vault PDM for design data management, revision control, metadata management, and BOM structuring.

• Hands-on experience developing iLogic rules, VBA scripts, or equivalent Inventor automation routines for CAD workflow automation.

• Working knowledge of structured data formats such as XML, JSON, CSV, or Markdown, and ability to define clear data fields and validation rules.

• Solid understanding of mechanical assembly hierarchies, multi-level BOMs, engineering change management, and component traceability.

• Good mechanical design fundamentals, including tolerance, fits, drawing standards, manufacturability, and function of machine components.

• Ability to communicate clearly with both mechanical design engineers and software/AI/data engineers.

• Strong written and verbal communication skills, with ability to document technical processes clearly for non-CAD audiences.

Preferred

• Experience with Inventor API, Vault API, Autodesk Developer SDK, C#/.NET, Python, or Git-based script management.

• Experience exporting structured design data from CAD, PDM, or PLM systems for use by databases, analytics tools, CPQ systems, or automation platforms.

• Familiarity with graph data concepts, knowledge graphs, semantic search, vector databases, or AI-assisted engineering workflows.

• Exposure to AI or machine learning concepts. AI/ML model development is not required, but curiosity and willingness to learn are important.

• Experience in industrial machinery, precision machining, machine tools, grinding machines, or finishing equipment.

• Experience with design automation, knowledge-based engineering, product configuration, or modular machine platforms.

Quyền lợi

• Thưởng: 13th month salary benefit
• Chăm sóc sức khoẻ: Private health insurance
• Nghỉ phép có lương: 10 days of paid vacation per year