At a Glance
- Tasks: Develop geometric algorithms and AI technologies for cutting-edge simulation solutions.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Professional growth, access to training, and a vibrant company culture.
- Other info: Collaborative environment with opportunities for skill development and career advancement.
- Why this job: Make an impact in the evolving field of AI and geometry within 3D simulation.
- Qualifications: Ph.D or Master’s in relevant fields, experience in AI/ML, and strong programming skills.
The predicted salary is between 58500 - 71500 £ per year.
As an AI Geometry Development Engineer, you will be part of the team responsible for developing geometric algorithms and solvers for Dassault Systèmes’ MODSIM solutions, which aim to unify modelling and simulation workflows within the 3DExperience platform. You will participate in the development of new technologies for Model Preparation for numerical simulation. To do so, you will have the opportunity to develop and deploy software at the core of the Geometric Modeler, enhanced with AI technologies.
Role Description & Responsibilities
- Model preparation for numerical fluid simulation using Navier-Stokes workflows: you will contribute to the development of the core geometry technologies used to ensure geometric watertightness for volume meshing during the CAD idealization process.
- Model preparation for structural simulation: you will develop AI agents whose function will be to elevate semantics of CAD parts in order to accelerate and automate the generation of high quality meshes for crash solvers. More specifically, you will be responsible for the AI model definition and implementation, training database creation, and results validation on industrial data.
- More generally, you will contribute to the work to enlarge AI usage within the Geometry Idealization portfolio for numerical simulation at the 3D MODSIM organization level and extend our best-in-class position compared to competitors in a quickly evolving R&D ecosystem.
Qualifications
- Ph.D or Master’s degree in Applied Mathematics, Computer Science, or a related field.
- Experience in AI/ML, Pytorch or Tensorflow.
- Proficiency in one or more programming languages and a deep understanding of software development principles.
- Strong knowledge of applied mathematics, with a focus on computational geometry.
- Familiarity with the development of mathematical operators and geometric solvers.
- Problem-solving mindset and ability to tackle complex mathematical challenges.
- Strong collaboration and communication skills to work effectively within a team.
- Attention to detail and commitment to delivering high-quality solutions.
What’s in it for you?
- Professional Growth: Opportunity to advance within the organization.
- Learning Environment: Access to training, workshops, and skill development.
- Collaboration: Work closely with cross-functional teams.
- Company Culture: Work in a culture of collaboration and innovation.
Interested? Click on "Apply" to upload your application documents.
AI Geometry Development Engineer in Cambridge employer: PowerToFly
At PowerToFly, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the surgical equipment sector. Our Camberley location provides a vibrant environment with ample opportunities for professional growth, supported by comprehensive training and development programmes. We value our employees' contributions and offer competitive benefits, making us a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Geometry Development Engineer in Cambridge
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We think you need these skills to ace AI Geometry Development Engineer in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PowerToFly.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at PowerToFly and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at PowerToFly
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PowerToFly uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
