At a Glance
- Tasks: Develop and optimise software across multiple languages, focusing on C++ and CUDA.
- Company: Join MorphoAI, a leader in AI-driven engineering software.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Gain hands-on experience with machine learning models and GPU execution.
- Why this job: Be at the forefront of AI and engineering, transforming designs with cutting-edge technology.
- Qualifications: Experience in software engineering, particularly with C++, CUDA, and multi-language systems.
The predicted salary is between 72000 - 88000 £ per year.
The role asks for an engineer who can work across a whole product codebase, from the user interface through a Python backend to a C++ and CUDA engine, and who can set clean interfaces and cut complexity so the platform stays easy to extend. A strong candidate brings solid software engineering fundamentals for multi-language systems, the ability to frame vague architecture problems before choosing a path, and sound judgment on testing, performance and technical debt.
The work also covers moving machine learning models into production, including export and inference on GPUs.
The company builds GPU accelerated models that generate mechanical assembly designs, so this role sits close to where AI meets engineering software. Much of the value comes from making model output usable inside a real product, which means the human work of interfaces, system boundaries and reliability stays central. AI speeds up design exploration, while the engineer keeps the platform coherent and maintainable.
The role offers direct exposure to taking models from research into production, covering export, inference, GPU execution and deployment. Building on that means getting hands on with model artifacts and inference pipelines, and learning how GPU code and cross-language interfaces fit together in a design tool. Background in CAD, geometry or simulation would strengthen the fit for this company.
Worth showing:
- C++ and CUDA GPU performance work
- Clear technical communication
Member of technical staff/ C++ CUDA in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Member of technical staff/ C++ CUDA in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at present of AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to present of AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like present of AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like present of AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Member of technical staff/ C++ CUDA in London
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 present of AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at present of AI 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 present of AI
✨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 present of AI 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.
