Parker Hannifin is looking to prototype AI/ML solutions for manufacturing automation and product development, specifically developing generative-AI workflows for CNC code generation and integrating physics-informed techniques for improved reliability.
Requirements
- Coursework or hands-on exposure in: Machine Learning / Deep Learning, Data Structures & Algorithms, CAD/CAM, Manufacturing Processes / Machining, and Numerical Methods.
- Simulation experience (FEA and/or CFD) - Ansys Mechanical and Fluent preferred.
- Practical experience with Python and ML frameworks (PyTorch or TensorFlow).
- Familiarity with basic software engineering tools: Git, Docker, and cloud fundamentals (AWS/GCP/Azure).
- Familiarity with CNC concepts (G-code, toolpaths, feeds & speeds) and CAD tools.
- Coursework or project experience in Generative AI / LLMs, code generation, or transformer models.
- Experience with physics-constrained learning (PINNs).
Responsibilities
- Prototype AI/ML solutions for manufacturing automation and product development.
- Develop generative-AI workflows to produce and validate CNC (G-code) from CAD/CAM inputs.
- Integrate physics-informed techniques (e.g., PINNs) into models for improved reliability.
- Build OCR/document-ingestion pipelines and connect to downstream ML systems.
- Support Unity/VR visualizations as needed and deliver demos, reports, and handoff-ready code.
Other
- Currently enrolled in a Master’s program Generative AI, Machine Learning, or related field. preferred.
- U.S. Citizenship, Permanent Residency or other appropriate status is required for certain positions, in accord with U.S. import & export regulations.
- All applicants seeking employment with Parker will be subject to drug testing as a condition of employment.
