Mechanical Design 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

We are seeking a Mechanical Engineering Data Specialist to bridge traditional mechanical engineering expertise with modern AI-driven data operations. This role focuses on reviewing, curating, and annotating complex engineering datasets to support computational models, automated design systems, and data-centric engineering solutions. The ideal candidate will analyze CAD/CAE data, document design lifecycle changes, and develop structured guidelines that capture engineering intent, constraints, and design rationale.

Responsibilities:

• Develop data protocols, annotation guidelines, and technical requirements for capturing engineering design intent and constraints for AI/ML training.
• Review and curate engineering datasets from CAD/PLM tools (NX, Teamcenter, SolidWorks, CATIA) and CAE platforms (Simcenter, ANSYS) to ensure accuracy and quality.
• Analyze design lifecycle changes, creating version comparisons and diff datasets to explain geometry and simulation modifications.
• Generate synthetic engineering datasets using CAD/CAE scripting, including NX Open and Python, to create part variations and simulation scenarios.
• Support structured engineering knowledge development using data annotation schemas, engineering ontologies, and knowledge representation frameworks.

Qualifications:

• Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related field.
• 5+ years of hands-on experience with CAD/PLM tools, preferably Siemens NX and Teamcenter.
• Strong understanding of design-to-simulation workflows, including FEA, CFD, structural analysis, and engineering constraints.
• Proficiency in Python programming for automation, scripting, and engineering data manipulation.
• Experience with Data-Centric AI, non-text dataset preparation, 3D meshes, point clouds, or engineering field data.
• Knowledge of Cyber-Physical Systems (CPS), safety assurance modeling, Graph Neural Networks (GNNs), or geometric deep learning applied to engineering data is preferred.