About Rescale

• Build and ship AI Physics capabilities alongside the Rescale AI/ML team
• Turn real customer simulation data into AI-ready pipelines using the core AI Physics product
• Execute and harden early AI Physics POCs so they are repeatable, reusable, and production-ready
• Debug and resolve issues across data preprocessing, models, inference, and workflow orchestration
• Work directly with customer engineers to understand their workflows and technical constraints
• Close gaps between customer workflows and product capabilities, feeding concrete learnings back into the product roadmap
• Act as a builder first, with the ability to be forward-deployed on critical customer engagements when needed
• Strong software engineering fundamentals, with heavy emphasis on Python
• Hands-on experience with ML or data-driven systems in production contexts
• Familiarity with simulation workflows and engineering data
• Experience building and modifying data pipelines and ML workflows
• Ability to debug complex issues across data, models, and workflow orchestration
• Comfortable working directly with customer engineers on technical problems
• This role includes direct customer engagement, particularly during POCs and early deployments
• Expect occasional travel to customer sites for deep technical working sessions, workshops, or critical milestones
• Travel is purposeful and tied to execution, not routine sales support