CFD Engineer
On-siteCambridge, England, United Kingdom
Job Summary
Develop and apply CFD models to analyse airflow, heat transfer, and fluid flow phenomena within new product platforms. Build, validate, and refine simulation models using experimental and prototype test data to correlate results with physical testing. Design and evaluate functional prototypes to investigate new technologies, while translating complex simulation findings into practical design recommendations for cross-functional engineering teams. Work closely with multidisciplinary teams to solve challenges in fluid dynamics and thermodynamics, developing analytical tools and automated workflows using Python. Based in the Cambridge office, this role supports early-stage innovation through feasibility studies and proof-of-concept activities within the New Product Development team.
Required Qualifications
- Bachelor's or Master's degree in Mechanical Engineering, Physics, Mathematics or a related engineering discipline
- Minimum 2 years of experience in CFD, thermal analysis, simulation engineering or a related engineering role
- Strong understanding of fluid mechanics, heat transfer and thermodynamics
- Experience developing CFD and/or FEA models using ANSYS, Abaqus, ANSA or equivalent simulation tools
- Experience correlating simulation results with physical testing and experimental data
- Practical hands-on experience designing, building and testing electromechanical prototypes
- Proficiency with CAD software such as SolidWorks or Creo
- Fluency in Python for modelling, automation, data analysis or engineering workflows
- Strong analytical and problem-solving capabilities with experience interpreting complex datasets
- Excellent communication skills with the ability to present technical findings to diverse audiences
Desired Qualifications
- Experience developing consumer products, consumer electronics, domestic appliances or handheld devices
- Knowledge of heating technologies, sensors, control systems and thermal management
- Experience with design of experiments (DoE), statistical analysis and validation methodologies
- Experience improving simulation processes, workflows or engineering toolsets
- Working knowledge of laboratory instrumentation and product testing methodologies
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