AI-Driven Mechanical Design Data Engineer

Conflux Systems; Bellevue (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Conflux Systems in Bellevue, WA seeks a Mechanical Engineering Data Specialist to bridge traditional mechanical engineering with AI-driven data operations. You will review CAD/PLM data, curate datasets, and annotate design intent, constraints, and rationale to support AI models and data-centric engineering solutions.

You will develop data protocols and guidelines for AI/ML training, analyze design lifecycle changes, and generate diff datasets using CAD/CAE scripting (NX Open, Python) to create

Qualifications

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or related field.
• Experience with CAD/PLM tools (NX, Teamcenter) and CAE platforms.
• Understanding of design-to-simulation workflows (FEA, CFD, structural analysis).
• Proficiency in Python for automation and data manipulation.

Responsibilities

• Review, curate, and annotate engineering datasets to support AI-driven models.
• Develop data protocols and annotation guidelines for capturing design intent and constraints.
• Analyze design lifecycle changes and create diff datasets explaining geometry and simulation modifications.
• Generate synthetic engineering datasets using CAD/CAE scripting (NX Open, Python).
• Support knowledge development through data annotation schemas and engineering ontologies.

Skills

Mechanical Engineering

Python programming

Data-centric AI

CAD/PLM tools

FEA/CFD knowledge

Education

Bachelor's or Master's in Mechanical/Aerospace Engineering

Tools

NX

Teamcenter

SolidWorks

CATIA

Python

Job description

Conflux Systems in Bellevue, WA seeks a Mechanical Engineering Data Specialist to bridge traditional mechanical engineering with AI-driven data operations. You will review CAD/PLM data, curate datasets, and annotate design intent, constraints, and rationale to support AI models and data-centric engineering solutions.

You will develop data protocols and guidelines for AI/ML training, analyze design lifecycle changes, and generate diff datasets using CAD/CAE scripting (NX Open, Python) to create