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.
How it fits the AI era
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.
How it builds AI experience
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
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About MorphoAI
MorphoAI builds software tools for designing robots and machines, according to company statements.
Member of technical staff/ C++ CUDA 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.
