Engineering, Sr Engineer

We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have spent years building ML systems that work at scale, not just in notebooks but in production, where data pipelines break, training runs fail at hour 47, and someone has to own the fix. The difference between a model that ships and one that stays in research is usually the unglamorous work of versioning datasets, writing tests, and making sure the thing can actually be called from a product workflow. You are the engineer who closes that gap. Scientific simulation data is different. Irregular 3D meshes, physics constraints that matter, and datasets where one bad simulation can poison a training run. You have worked with data like this before, or you are ready to learn why it matters. Either way, you know that the model is only as good as the data it was trained on, and you care about that upstream problem as much as the architecture. Deployment is not someone else's job. You think about what happens after the checkpoint: how it gets packaged, how inference gets served, how a product engineer in a different timezone calls it without breaking their workflow. At Synopsys, you will build the infrastructure that makes Large Physics Foundation Models real for CFD, thermal, and electromagnetics products that customers actually ship. What You'll Be Doing

…