Design Sculptor – Computational

Job Description

DUTIES: Develop and apply computational design tools to meet quality and time requirements as directed by Sculpting Leadership for assigned programs. Streamline design processes in the creation of aesthetic models. Create and manage Computational Design definitions and scripts for digital models simulations and visualization to support decision-making throughout the design process. Use and create Computational Design algorithms to build complex sculpted surfaces throughout the GVDP. Mentor sculptors on the use theory and implementation of Computational Design. Ensure that computational design tools and processes adhere to common GM Global Design processes and best practices. Support surface releases which meet Design approval production engineering and data release requirements. Comprehend program timelines and all relating model quality requirements. Adhere to corporate data management processes including Teamcenter SharePoint and communication systems. Hybrid Work Policy 3 days In-Office 2 Days Remote Must be able to report to local office.

REQUIREMENTS: Bachelors degree in Industrial Engineering Mechanical Engineering Information Science or related field of study and Three (3) years of experience as a Lab Engineer Augmented Reality Designer and Developer or related occupation in Automotive Design. OR Masters degree and one (1) year of experience. One (1) year of experience with the following: Programming including Python for developing automation logic and interactive workflows tailored to automotive design; Developing advanced tools and scripts automation for real-time design and extending software functionality beyond native capabilities; Building applications specifically for creative automotive design ergonomic evaluation and interactive sculpting workflows; Designing and deploying computational pipelines that integrate design visualization with enterprise or cloud-based systems and multi-disciplinary data; Incorporating human-centered ergonomic and engineering constraints into computational design and simulation processes; Creating immersive simulation environments that unify automotive design human factors and manufacturing validation; and Data-driven design automation for interactive 3D visualization and cross-disciplinary design reviews.

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