What you’ll do - Build high-performance data processing systems that replan production schedules in under 10 minutes using constraint solvers and numerical optimization techniques. - Partner with manufacturing engineers and factory operators to understand production workflows and translate them into software requirements. - Write production-quality code with comprehensive tests, participate in code reviews and architectural discussions. - Design and implement data access layers for computational geometry operations, enabling efficient extraction of features, dependencies, and manufacturing sequences from CAD models. - Develop graph algorithms that model manufacturing dependencies, resource constraints, and optimization objectives across complex assembly operations. - Integrate data from PLM, ERP, MES, and CAD/CAM systems to create a unified data foundation for scheduling and optimization algorithms. - Deploy and operate your systems in factory environments, including edge compute clusters and OT networks. - Implement and optimize constraint solvers (MIP, CP, SAT) and numerical optimization algorithms for production scheduling under real-world constraints. - Leverage AI tooling in your develop

What you’ll do - Build high-performance data processing systems that replan production schedules in under 10 minutes using constraint solvers and numerical optimization techniques. - Partner with manufacturing engineers and factory operators to understand production workflows and translate them into software requirements. - Write production-quality code with comprehensive tests, participate in code reviews and architectural discussions. - Design and implement data access layers for computational geometry operations, enabling efficient extraction of features, dependencies, and manufacturing sequences from CAD models. - Develop graph algorithms that model manufacturing dependencies, resource constraints, and optimization objectives across complex assembly operations. - Integrate data from PLM, ERP, MES, and CAD/CAM systems to create a unified data foundation for scheduling and optimization algorithms. - Deploy and operate your systems in factory environments, including edge compute clusters and OT networks. - Implement and optimize constraint solvers (MIP, CP, SAT) and numerical optimization algorithms for production scheduling under real-world constraints. - Leverage AI tooling in your develop