Aero AI Engineer: CFD Analytics & Surrogate Models

MSMagazin; Grove; On-site; GBP 50,000 - 80,000; Full time

Job summary

MSMagazin is seeking an Aerodynamic AI Engineer to leverage data and AI for improving aerodynamic development at Williams Racing. This role involves developing machine learning models and collaborating with engineers in a fast-paced environment.

The ideal candidate excels in Python, has experience with CI/CD pipelines, and an advanced degree in engineering or a related field. Opportunities for growth and innovation in aerodynamics await.

Qualifications

• Experience developing/deploying AI/ML models for scientific applications.
• Proficiency in Python and PyTorch framework.
• Familiarity with mesh generation algorithms.
• Experience with statistical analysis and anomaly detection.
• Strong software engineering practices including CI/CD development.

Responsibilities

• Develop AI models for CFD simulation data analysis.
• Build surrogate models for aerodynamic predictions.
• Create AI-driven mesh generation algorithms.
• Analyze wind tunnel data for quality assurance.
• Maintain CI/CD pipelines for AI model deployment.
• Collaborate with engineers to translate requirements into AI solutions.

Skills

AI/ML model development

Python

Computational geometry

Statistical analysis

CI/CD pipeline development

Communication skills

Project management

Fluid dynamics

Education

Master's or PhD in Engineering, Physics, Computer Science, or related

Tools

PyTorch

NVIDIA PhysicsNemo

Job description

MSMagazin is seeking an Aerodynamic AI Engineer to leverage data and AI for improving aerodynamic development at Williams Racing. This role involves developing machine learning models and collaborating with engineers in a fast-paced environment.

The ideal candidate excels in Python, has experience with CI/CD pipelines, and an advanced degree in engineering or a related field. Opportunities for growth and innovation in aerodynamics await.