At a Glance
- Tasks: Create next-gen design workflows and automate CAD processes for vehicle programmes.
- Company: Join McLaren Automotive, a leader in innovation and design.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a structured career development framework.
- Why this job: Make a real impact in automotive design with cutting-edge technology and AI.
- Qualifications: Expertise in CATIA, C#, Python, and CAD automation required.
- Other info: Diversity and inclusion are at our core; join us on an exciting journey!
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are recruiting a Senior Computational Design Engineer to join our Digital R&D and AI organisation. Your prime mission is to create next‑generation, computational‑geometry and generative‑design workflows that compress design iterations, unlock lightweight architectures and shorten time‑to‑tooling across all vehicle programmes. You will automate CAD and geometry pipelines (CATIA, C# plug‑ins, native macros) and weave advanced optimisation algorithms into daily engineering practice, while partnering with simulation and manufacturing teams to ensure designs remain physically feasible.
What You’ll Do
- Translate critical vehicle‑attribute targets into computational‑design studies and geometry‑driven optimisation tasks to deliver measurable reductions in mass, part complexity and manufacturing cost.
- Automate CAD geometry generation and parameter management by building CATIA C# add‑ins and native‑script macros to eliminate manual re‑work and accelerate iterative design loops.
- Create and maintain an integrated optimisation stack‑combining topology/lattice algorithms, surrogate or reduced‑order models and multi‑objective search techniques‑to generate manufacturable, lightweight concepts that satisfy package, cost and regulatory constraints.
- Leverage large‑language‑model (LLM) agents to automate engineering‑requirements authoring, validation and change‑management workflows, issue management and to enable document‑heavy knowledge retrieval across standards, test reports and best‑practice libraries.
- Contribute to the development of AI models that capture and encode design intent in a shared latent space, enabling similarity search, concept morphing and data‑driven generative ideation across vehicle programmes.
- Work on version‑controlled design library‑parameters, templates, digital twin geometry‑and present trade‑offs and optimisation results (dashboards, VR/AR, review packs) to maximise reuse and secure cross‑functional sign‑off.
- Mentor junior CAD‑automation and design‑optimisation engineers, embedding best practices in computational geometry, scripting discipline and data governance.
What You’ll Bring Business Knowledge
End‑to‑end awareness of the automotive product‑development V cycle‑concept, package, design release, change‑management and sign‑off‑and how computational geometry accelerates each gate.
Working knowledge of manufacturing and cost drivers for castings, additive parts, composite lay‑ups and stamped sheet‑metal, plus the implications of supplier and PLM change‑control processes.
Familiarity with engineering‑requirements management (e.g., 3DS, Jama) and the documentation standards that govern safety, homologation and programme change requests.
Advanced qualifications
- Expert programming capability in CATIA: C# (CAA RADE / Automation API), EKS and native scripts (VBScript/CATScript) for geometry automation, macro development and plug‑in creation.
- Deep proficiency in parametric and algorithmic CAD techniques; able to construct knowledgeware, power‑copies, publications and template‑based part families for rapid variant generation.
- Strong Python and/or MATLAB skills for geometry manipulation (e.g., OpenCASCADE, PyOCCT), data pipelines and CI/CD automation; disciplined use of Git and test frameworks.
- Competence in creating APIs and middleware that connect CAD, PLM, simulation and data services, ensuring seamless data flow, provenance tracking and automated change propagation.
- Practical use of large‑language‑model (LLM) tools/agents for requirements authoring, validation and document‑heavy knowledge retrieval within engineering contexts.
No restraints. No limitations. We don\’t simply push boundaries. We completely rethink them.
McLaren Automotive commits to equal opportunity for all. Diversity, Equality and Inclusion is at the heart of our impact, it drives our innovation and enables us to truly create something special. Join us on our journey.
We offer a wide‑ranging benefits package, which includes:
- Structured career development framework
- 25 days’ holiday, plus bank holiday. Annual buy & sell up to five days
- Enhanced company pension scheme
- Discretionary annual bonus award
- Private medical insurance and health cash plan
- Life assurance benefit
- Ability to apply for a sabbatical of up to one year after only two years’ service
- Benefits you can adapt to your lifestyle, such as discounted shopping
- Generous parental leave policies
- A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice
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Computational Design Engineer employer: McLaren Racing
Contact Detail:
McLaren Racing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Design Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computational design projects, CAD automation, and any generative design workflows you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled design challenges and automated processes in your previous roles. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Computational Design Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Computational Design Engineer. Highlight your programming capabilities in CATIA, C#, and any relevant projects that showcase your expertise in computational geometry.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about computational design and how your background makes you a perfect fit for our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. We love seeing practical applications of your skills, especially those that demonstrate your ability to automate CAD processes or optimise designs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our innovative team at StudySmarter.
How to prepare for a job interview at McLaren Racing
✨Know Your Tech Inside Out
Make sure you’re well-versed in CATIA, C#, and the various scripting languages mentioned in the job description. Brush up on your programming skills and be ready to discuss specific projects where you've automated CAD processes or developed plug-ins.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex design challenges using computational geometry and optimisation algorithms. Be ready to explain your thought process and the impact your solutions had on project outcomes.
✨Understand the Bigger Picture
Familiarise yourself with the automotive product-development V cycle and how computational design fits into it. This will help you articulate how your work can accelerate each stage of the process and contribute to overall efficiency.
✨Be Ready to Collaborate
Since the role involves partnering with simulation and manufacturing teams, think of examples where you've successfully worked cross-functionally. Highlight your communication skills and how you’ve ensured designs are feasible and meet regulatory constraints.