Senior CFD Engineer

Overview

Join to apply for the Senior CFD Engineer role at PhysicsX

About Us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We're Looking For As a Senior CFD Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often on-site) to build CAE models integrated into AI-tools that are both useful and used.

You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python / Java (or the ability to quickly learn programming languages) is an advantage. With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.

This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving. You'll play a crucial role in delivering high-fidelity simulations by :

Responsibilities

• Independently build complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
• Build robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies.
• Partner with customers to address their most complex engineering challenges through advanced CAE & AI solutions; present results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines.
• Work at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine / Deep Learning models. Leverage data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
• Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
• Continuously improve engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates.
• Combine project leadership with mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
• Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers.

As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL) depending on interest and performance. Please note, this role is based in New York, working 2-3 days per week in our Manhattan office.

What We Offer

Equal Opportunity We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

Salary Range $120,000 - 240,000 depending on experience. Seniority will be assessed throughout our interview process.

Legal Notice We collect diversity and inclusion data solely for monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Seniority level

Employment type

Job function

Industry

We value diversity and are committed to equal employment opportunity. This description reflects current roles and can be updated as the role evolves.

J-18808-Ljbffr