At a Glance
- Tasks: Lead simulation workflows and develop cutting-edge solutions for automotive and consumer electronics.
- Company: Join a pioneering AI platform transforming engineering simulations.
- Benefits: Competitive salary, training budget, hybrid work model, and ample resources for your projects.
- Other info: Collaborative, multicultural environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the engineering world with innovative AI solutions.
- Qualifications: 5-8 years of FEA simulation experience and strong Python skills.
The predicted salary is between 72000 - 88000 £ per year.
Neural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers.
As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results.
What You Will Do
- Own vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success.
- Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab.
- Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries.
- Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities.
Who You Are
- 5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environments.
- Deep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plot.
- Strong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteria.
- Demonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration).
- Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → Visualization.
- Scripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus.
- Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiences.
- Proficiency in both written and spoken English, with the ability to articulate technical complexity with clarity.
Nice to Have
- Familiarity with AI-assisted simulation acceleration, design optimisation, or parametric study automation.
- Comfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scripts.
- Master HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance.
What You Get
- Competitive salary and benefits.
- Training budget — we believe continuous education is essential for you and for us.
- Work directly with a world-class engineering team that sets high standards and means it.
- Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised.
- Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably.
- Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads.
- Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not schedules.
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
Senior CAE and AI Expert in Cambridge employer: Neural Concept
Neural Concept is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and engineering. With a strong focus on employee growth, you will have the opportunity to engage with leading firms while enjoying the flexibility of a hybrid role across vibrant locations like London and Cambridge. Our commitment to strategic development and collaboration ensures that you will be part of a forward-thinking team dedicated to shaping the future of enterprise software sales.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CAE and AI Expert in Cambridge
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Senior CAE and AI Expert role you’re after at Neural Concept.
✨Show Off Your Projects!
Don’t be shy about showcasing your engineering projects. Whether it’s a funky app, a mechanical design, or a complex algorithm, having a solid portfolio on platforms like GitHub can really make you stand out. Plus, it gives potential employers at Neural Concept a taste of what you can bring to the table!
✨Engage with Online Communities
Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Neural Concept.
✨Apply Through Company Websites
When you spot a role like Senior CAE and AI Expert at Neural Concept, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.
We think you need these skills to ace Senior CAE and AI Expert in Cambridge
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like Senior CAE and AI Expert, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Neural Concept a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Neural Concept specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at Neural Concept
✨Brush Up on Core Engineering Principles
Before heading into the interview with Neural Concept, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like Neural Concept want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
