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Develop geometry-processing and simulation algorithms for engineering applications, build services for 2D/3D CAD, CAE, and CAM data, create rendering modules, curate datasets, optimize machine learning post-training workflows, and contribute to engineering domain-specific languages. The role requires strong Python development, computational design or geometry-processing experience, machine learning expertise, and familiarity with CAD/CAM/CAE tools, LLM post-training, and compilers or DSLs.

Create and quality-assure high-fidelity mechanical engineering datasets for AI model training, evaluation, and customer delivery. Build CAD reference models, assemblies, annotations, exploded views, sequences, and manufacturing artifacts. Develop data workflows, metadata standards, quality checks, and documentation while collaborating with product, research, engineering, and customer-facing teams. Translate mechanical engineering, CAD, manufacturing, DFM, and customer data requirements into structured datasets and scalable processes.

The Software Architect will lead architecture decisions, mentor teams, and enhance system reliability and performance while collaborating with product and research teams.

Architect and manage ML pipelines for training and deployment on cloud platforms, automate CI/CD, and ensure system performance and availability.