Donaldson is hiring a graduate-level intern to advance practical engineering and data solutions for filtration research and product development. The role develops digital engineering capabilities across simulation, software development, data engineering, and data science to accelerate innovation and product development.
Responsibilities
Own a scoped technical project from problem definition to development and final recommendations
Build and evaluate Python-based engineering or data-science workflows using version-controlled, reproducible methods
Prepare, clean, validate, and analyze simulation or laboratory datasets; document data quality issues and assumptions
Develop and test models or applications such as deep-learning surrogates, reduced-order models, data-ingestion tools, or parameterized geometry workflows
Develop a parameterized geometry workflow for simulation setup, simulation execution, and results evaluation
Compare simulation results, laboratory results, or baseline engineering methods using appropriate technical metrics or baseline engineering methods
Collaborate with simulation engineers, data scientists, and subject-matter experts to interpret practical requirements
Document architecture, methods, assumptions, and recommended next steps so the work can be extended after the internship
Provide progress updates, incorporate technical feedback, and communicate findings to both technical and non-technical stakeholders
Follow Donaldson requirements for data access and security
Qualification
Required
Currently pursuing a graduate degree in mechanical engineering, aerospace engineering, computer science, data science, data engineering, applied mathematics, or a related technical field
Coursework or project experience using Python for data analysis, numerical methods, machine learning, scientific computing, or application development
Experience working with technical datasets and communicating methods and results through written documentation or presentations
Must be U.S. persons (U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee)
Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.)
Preferred
Graduate-level study or research experience in computational fluid dynamics, machine learning, scientific computing, or data engineering
Deep-learning methods for spatial or high-dimensional data, including designing neural networks architectures and training models using structured datasets
CFD software and flow-field data, including pressure, velocity, pressure-drop, or particle-transport results
Reduced-order modeling, surrogate modeling, regression, validation, uncertainty analysis, or model performance metrics
Experience with SQL, Snowflake or another cloud data warehouse, Streamlit, data validation, and layered data pipelines
CAD, parameterizing geometry, 3D scanning, or scan-to-CAD workflows
Familiarity with Git, software architecture, or AI-assisted development tools such as GitHub Copilot
Ability to gather requirements from engineers or laboratory users and convert them into a clear technical scope
Strong problem-solving, technical communication, collaboration, and ability to work through an open-ended development problem
Benefits
Retirement plan (401k)
Paid time away – sick and safe time (MN only)
Employee assistance program
Donaldson Company helps solve some of the world's most complex filtration and contamination control challenges.
