Mechanical Design Data Specialist / Mechanical Design Engineer / Mechanical CAD Engineer

Job Title: Mechanical Design Data Specialist Location: Bellevue, WA 98008 Duration: 3 Months Job Type: Temporary Assignment Work Type: Remote Shift Timings: 8AM - 5PM Pay Rate: $53.00 - $53.00/Hr Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan, offering strategic talent solutions tclients worldwide. The opportunity below is with one of our clients, a leading global medical technology company. This organization provides a wide range of diagnostic imaging and laboratory diagnostics, as well as advanced therapies and digital health services. Its solutions span prevention and early detection through diagnosis, treatment, and follow-up care, empowering healthcare providers worldwide. Job Description: Key Responsibilities Act as the 'domain expert' by authoring technical requirements and annotation guidelines. Define the rules for how engineering intent, constraints, and design rationale should be captured for AI training. Audit incoming CAD (NX/Teamcenter/SolidWorks/CATIA, etc.) and CAE (Simcenter/ANSYS) data to ensure it accurately represents real-world engineering intent. Track and document design changes across versions to create 'diff' datasets that explain why a geometry or simulation parameter was modified. Use CAD/CAE scripting (e.g., NX Open, Python) to generate variations of mechanical parts and simulation runs to augment training sets. Basic Qualifications BS/MS in Mechanical Engineering or Aerospace Engineering. 5+ years of hands-on experience with commercial CAD/PLM tools (Client NX and Teamcenter preferred). Strong understanding of the design-to-simulation loop (FEA/CFD, etc.). Proficiency in Python for automating design tasks or data manipulation. Preferred Qualifications Familiarity with engineering design ontologies, knowledge representations, or structured reasoning frameworks for design rationale. Familiarity with Cyber-Physical Systems (CPS) and safety assurance modeling. Hands-on experience with structural analysis (linear/nonlinear statics, dynamics, fatigue) or fluid mechanics at a level sufficient to define engineering constraints and evaluate design feasibility. Experience in developing data collection protocols or annotation schemas translating complex engineering tribal knowledge into structured, machine-readable requirements. Experience in Data-Centric AI, specifically annotating or preparing non-text datasets (3D meshes, point clouds, or field data). Knowledge of Graph Neural Networks (GNNs) or geometric deep learning as applied to mesh-based engineering data. TekWissen® Group is an equal opportunity employer supporting workforce diversity.