Associate Senior Computational Fluid Dynamics (CFD) Specialist - GFS

Description

• Lead CFD analyses throughout all project phases, ensuring quality, accuracy, and client satisfaction.
• Mentor junior engineers and support continuous improvement in modelling workflows and automation.
• Build and manage complex CFD models for data centres, from geometry clean-up and meshing to simulation, post-processing, and interpretation.
• Collaborate with the UK CFD Team and other global offices (UK, USA, BMI) to share knowledge and strengthen internal CFD capabilities.
• Manage and develop intellectual property related to CFD tools, workflows, and best practices.
• Integrate weather data and environmental parameters into boundary conditions for external flow and ventilation studies.
• Ensure QA/QC compliance, manage deadlines, and maintain clear communication across multidisciplinary and multi-office teams.
• Occasionally adjust work hours to coordinate with international teams (UK/US time zones).
• Prepare and present high-quality technical reports and visualisations for clients, stakeholders, and industry publications.
• Apply advanced fluid dynamics and heat transfer principles to real-world challenges in thermal management, HVAC, and external aerodynamics.

Requirements

• Understanding of data centre design (preferred).
• Experience collaborating on global projects and working effectively across time zones and cultures.
• Master’s degree in Aerospace, Mechanical, or Chemical Engineering (PhD preferred).
• Familiarity with CAD and BIM tools such as Revit, AutoCAD, or Rhino for geometry preparation and integration.
• Minimum 7 years of professional CFD experience in a commercial or consulting environment.
• Proficiency in Microsoft Word, Excel, and PowerPoint, with exceptional attention to detail and presentation quality.
• Strong foundation in fluid mechanics and heat transfer, with hands-on experience in both steady-state and transient CFD.
• Strong analytical, communication, and technical reporting skills with the ability to explain complex simulation results to diverse audiences.
• Proficiency with one or more major CFD tools: Cadence Reality DC (6Sigma), STAR-CCM , ANSYS Fluent, or OpenFOAM.
• Knowledge of experimental validation, reduced-order modelling, or data-driven verification techniques (a plus).
• Proven ability to lead projects, influence decisions, and drive innovation within a multidisciplinary engineering environment.
• Experience with Python scripting or similar tools for process automation and data post-processing (preferred).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance