CFD Applications Engineer — AI & Simulation

Siemens AG; Greater London; Hybrid; GBP 44,000 - 69,000; Full time

Job summary

Siemens AG in London seeks an Application Engineer to advance CFD-driven simulation across Aerospace, Energy, Automotive, and Marine sectors. You will merge strong CFD fundamentals with AI-enabled workflows, collaborating closely with customers to fit their engineering processes.

The role emphasizes hands-on CFD, knowledge sharing through training, and showcasing innovative AI-driven tooling while working in a hybrid environment based in London.

Qualifications

• Degree in engineering, mathematics, physics, or related science.
• MSc/PhD in fluid mechanics considered a strong plus.
• Excellent verbal and written English communication.
• Strong problem-solving and organisational skills.
• Hands-on, customer-facing problem-solving mindset.
• Occasional travelling likely.

Responsibilities

• Work with customers to understand workflows and propose solutions.
• Apply CFD and AI/ML capabilities within Simcenter STAR-CCM+ where relevant.
• Follow new modelling techniques and release cycles across products.
• Conduct training courses and customised mentoring.
• Deliver product demonstrations for diverse applications.
• Support benchmark and validation studies with customers.
• Interact remotely or on-site to understand challenges and adoption.
• Develop engineering solutions to improve CAE workflows and results.
• Promote automated design space exploration and AI tooling.

Skills

English communication

Problem solving

Organizational skills

Customer-facing

Education

Engineering degree

MSc/PhD in fluid mechanics

Tools

Simcenter STAR-CCM+

Job description

Siemens AG in London seeks an Application Engineer to advance CFD-driven simulation across Aerospace, Energy, Automotive, and Marine sectors. You will merge strong CFD fundamentals with AI-enabled workflows, collaborating closely with customers to fit their engineering processes.

The role emphasizes hands-on CFD, knowledge sharing through training, and showcasing innovative AI-driven tooling while working in a hybrid environment based in London.