• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. • Build services for reading, processing, and writing 2D/3D engineering data. • Develop rendering modules for generating 2D/3D visual assets. • Curate and manage large-scale datasets for learning-based systems. • Implement and optimize post-training workflows for machine learning models. • Contribute to the development of domain-specific languages for engineering tasks.

• Design Reactor Modification Tooling that incorporates mechanical, pneumatic, hydraulic, and electro-mechanical/motor actuation based on inputs, requirements, and environment within schedule and cost limits • Draft drawings for fabrication, then build and test the Reactor Modification Tooling you design to prove the requirements for performance are met • Prepare 3D models, access and clearance studies, drawings, specifications, and test plans to support tooling development • Collaborate with the Hardware Team, Analysis Teams, Field Deployment Teams, and Services Business to deliver tooling designs that meet our standards for Nuclear Quality and Safety • Perform design reviews to present your design to engineering peers and leadership and obtain feedback • Write operation procedures for the tooling you design to help the field deployment team execute the repair • Emergent issue support of customers during Outage Season to help solve challenging problems with technical guidance and fast-paced design, build, test response

• Partner with designers and engineers to build microsites for product releases. • Maintain webAI's marketing website, keeping it fresh, performant, and aligned with our evolving brand and product vision. • Champion user experience and accessibility across the front-end stack, maintaining a high quality bar.

• Build and maintain the components, patterns, and foundations (tokens, type, color, layout) that Mercury's product is woven from, holding a high bar for accessibility, performance, and pixel-level craft. • Lead projects that ship new UI patterns to solve real pain points for product teams, helping them build better experiences faster. • Develop a design system that's as ready for AI as it is for people, applying the technology to create leveraged outcomes. • Invest in the design system's prototyping experience, shaping the next iteration of how our design function rapidly prototypes, iterates on the product, and explores new concepts. • Raise the craft and AI fluency of the people around you, through mentorship and clear best practices.