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Software Engineering Intern CAD​/CAE​/Tooling

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Sika AG
Apprenticeship/Internship position
Listed on 2026-10-26
Job specializations:
  • Software Development
    Software Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CHF Yearly CHF 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineering Intern for CAD/CAE/Tooling
Location: Zürich

You'll help improve and experiment with engineering projects that combine CAE/CAD tools with cloud and on-premises platforms, with the goal of a better Product Lifecycle Management (PLM) efficiency. You will work where CAD/CAE meets software and split your time between operational systems and proof-of-concepts developments

What you'll do
  • Work on understanding and supporting 3

    DEXPERIENCE REST APIs data definition and integration to other systems such as Databricks or direct point-to-point integration
  • Design, build, and maintain low-code workflows in Synera that connect CAD, CAE and other tools for different purposes such as tooling layout optimization, engraving optimization.
  • Configure, test, and develop custom applications and validate the data that flows between them.
  • Document lessons learned and help the IT Application Owner (Automotive) evaluate new development paths.
  • Analyze CAD/CAE data formats and structures, find quick wins, model them in diagrams, and propose first solutions for review.
  • Write scripts for pre- and post-processing and small automation tasks.
  • Do basic work on infra Azure Resources (VMs, storage, compute for simulation jobs) and estimate cost and usage.
  • Optionally, support deployments on Google Cloud Platform.
  • Prepare datasets from CAD/CAE results and support surrogate-modeling and design-space exploration experiments.
  • Write runbooks, user guides, and short demos for engineering users.
Example Assignments
  • Part similarity search and parameter estimation:
    Build a similarity search over historical sold parts using their key dimensions, e.g., nearest-neighbor search in a normalized parameter space. Then propose interpolation or regression methods that estimate starting parameters for a new project from customer requirements across different Sika products.
  • AI-Driven Concept Design:
    Generative Geometry & Surrogate Simulation:
    Use our historical CAD and CAE data to explore AI methods that propose initial part geometries for new requirements. Train surrogate models that estimate simulation results (e.g., stress, stiffness) in seconds instead of running full solver jobs, which cuts design time and compute cost
  • Rule-based Part Analysis application:
    Develop a web application that guides engineers through Part Analysis: 3D model viewing, measurements, comments, accept/reject decisions, and suggested actions. The workflow is driven by business rules and tracks the state of each review. The stack is React/Next.js with a 3D rendering library (e.g., Three.js). Structured data goes in a relational database and 3D models and attachments in blob storage.
  • Finance application modernization:
    Help migrate a project-finance application that tracks project data and resources from a monolithic SQL Server + MS Access setup to a modern web application, following Sika architecture and security guidelines.
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