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The Consumer Electronics Solution Owner will lead the development of engineering workflows for the consumer electronics industry, partnering with customers to define solutions and ensure value delivery.

As an ML Application Engineer, you will lead projects with customers, applying machine learning to engineering challenges and training customers on the platform.

As a Technical Account Manager, you will drive customer adoption of AI-driven simulation tools, engage with engineering teams, and support software implementation in design workflows.

The Application Engineer will collaborate with customers in the automotive, aerospace, and energy industries to solve engineering challenges through machine and deep learning, utilizing Python to process data and develop tailored workflows, while providing training and translating customer feedback into product improvements.

The role involves collaborating with customers to solve engineering challenges using machine learning, develop solutions, train teams, and improve products based on feedback.

The Solutions Engineer will engage with stakeholders to translate business needs into technical solutions, drive AI adoption, and ensure platform integration with customer teams.

Own and develop end-to-end CAE solution assets and simulation workflows (crash, occupant/pedestrian safety, drop/durability). Validate benchmarks, write Python automation, map full simulation pipelines onto the platform, collaborate with Product/Engineering, and deliver production-grade, reproducible workflows for automotive and electronics customers.

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

In this role, you'll engage with senior stakeholders to understand their business challenges, design AI-powered solutions, and guide customers through implementation and adoption, ensuring effective use of new workflows.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.