AI AND SIMULATION ENGINEER (CO-OP)

Job Description Job Title: AI and Simulation Engineer (Co-op) Requisition ID: 31468 Location: Saskatoon, SK, CAN, S7K 5R6
Workplace Type: On-Site Experience Level: Internship Job Type: Student

Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each day. We're guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence.

Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien.

This Co-op is a 1 year term starting in September.

• The AI & Simulation Engineer will be responsible for assisting in the application of FEM (Finite Element Method) to model, simulate, and optimize phenomena observed in Potash Mining, including dust and fluid systems. The 3D Engineer will assist in 3D CAD modelling, reverse engineering, and fabrication via additive manufacturing of parts and tooling to support our Potash Mining operation. Duties of this position include ideation and analysis of prospective FEM applications, identification and gathering of required sensor and 3D data, and conducting in-field measurement of simulation parameters for validation.
• In addition, the role will involve applying machine learning techniques and GPU-accelerated simulation technologies such as NVIDIA PhysX AI to enhance the accuracy and performance of physics-based modelling. This includes integrating AI-driven parameter optimization, predictive modelling, and real-time simulation acceleration into mining-related FEM and CFD workflows.

• Pursuing an undergraduate or graduate degree in Engineering, Computer Science, Physics, or Mathematics
• Experience with uses of Finite Element Method, particularly CFD, Chemical Crystallization via PBEs, mechanical FEA, etc.
• Experience working with 3D object models, including mesh and solid object formats
• Experience working with simulation software packages, particularly Ansys
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) for scientific computing and physics-based simulation
• Knowledge of NVIDIA simulation technologies such as PhysX, Omniverse, or CUDA-accelerated physics engines, and their application in engineering simulations
• Familiarity with integrating AI/ML models into physics simulation workflows for prediction, optimization, and real-time analysis