At a Glance
- Tasks: Develop and optimise AI models for low-power intelligent hardware systems.
- Company: Join Novomorphic, a cutting-edge semiconductor design venture backed by industry leaders.
- Benefits: Enjoy 28 days' leave, private medical insurance, and a salary sacrifice pension scheme.
- Other info: Collaborative environment with opportunities to work on innovative engineering projects.
- Why this job: Make a real impact in the future of Edge AI and intelligent hardware technologies.
- Qualifications: Degree in AI, Machine Learning, or related fields; strong analytical skills required.
The predicted salary is between 28000 - 38000 £ per year.
Novomorphic is a new semiconductor design venture backed by Cadence Design Systems, Welsh Government, and CSA Catapult. We are building advanced semiconductor and intelligent hardware capability in the UK. Our work focuses on low-power intelligent hardware, edge AI, digital IC design, mixed-signal systems, FPGA platforms, embedded systems, and compound semiconductor technologies. We are building a practical engineering culture centred on technical excellence, curiosity, ownership, collaboration, and delivery.
The Opportunity
Novomorphic is seeking motivated graduates to join our Edge AI Engineering team. You will contribute to the development, optimisation and deployment of AI models for low‑power intelligent hardware systems. This role is ideal for graduates interested in machine learning, Edge AI, embedded AI deployment, intelligent hardware and hardware‑aware AI optimisation.
What You Will Do
- Support development and optimisation of machine learning models.
- Work on AI model compression, quantisation and deployment workflows.
- Assist with benchmarking, profiling and performance analysis.
- Support deployment of AI models onto embedded and constrained hardware platforms.
- Collaborate with FPGA, embedded and semiconductor engineers.
- Contribute to hardware‑aware AI optimisation and Edge AI workflows.
- Support development of reusable AI engineering methodologies and internal IP.
What You Will Develop
- Edge AI deployment workflows
- Machine learning optimisation techniques
- Embedded AI systems
- Hardware‑aware AI optimisation
- AI benchmarking and profiling
- Low‑power intelligent hardware concepts
- FPGA and embedded AI integration
- Cross‑disciplinary AI and semiconductor engineering
What We Are Looking For
Essential Requirements
- Degree in: Artificial Intelligence, Machine Learning, Computer Science, Computer Engineering, Electronic Engineering, Embedded Systems, or a related field.
- Understanding of machine learning fundamentals.
- Interest in Edge AI and intelligent hardware systems.
- Strong analytical and problem‑solving skills.
- Ability to work across software and hardware domains.
Desirable Experience
- Python and machine learning frameworks
- PyTorch or TensorFlow
- Embedded AI or Edge AI projects
- AI optimisation or deployment workflows
- FPGA or embedded systems exposure
- Linux environments
- AI benchmarking or profiling
Why Join Novomorphic?
- Work on advanced Edge AI and intelligent hardware technologies.
- Collaborate with semiconductor, FPGA, embedded and AI engineers.
- Build practical expertise in low‑power AI deployment.
- Contribute to real engineering and innovation projects.
- Help shape future intelligent hardware platforms.
Benefits
- 28 days’ annual leave plus bank holidays
- Salary sacrifice pension scheme
- Annual discretionary bonus scheme
- Life assurance
- Private medical insurance
- Additional benefits tailored to employee needs
Location and Working Model
This role is based in Cardiff, Wales. Working arrangements may vary depending on project and business requirements. Candidates must have the right to work in the UK or be eligible for sponsorship, where applicable.
Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff employer: Novomorphic Ltd
Novomorphic is an exceptional employer, offering graduates the chance to work at the forefront of Edge AI and intelligent hardware technologies in Cardiff. With a strong focus on technical excellence and collaboration, employees benefit from a supportive work culture that encourages curiosity and ownership, alongside competitive benefits such as private medical insurance and a generous annual leave policy. This role not only provides opportunities for professional growth through hands-on experience with cutting-edge projects but also allows you to contribute to shaping the future of intelligent hardware platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with alumni from your university. You never know who might have a lead on a job or can give you insider info about Novomorphic.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Edge AI and embedded systems. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning fundamentals and coding skills. Practice common interview questions and work on problems that involve AI model optimisation and deployment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Novomorphic. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for Edge AI and intelligent hardware shine through. We want to see that you’re genuinely excited about the field and eager to contribute to our innovative projects.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight relevant skills and experiences. Focus on your understanding of machine learning fundamentals and any projects related to embedded systems or AI optimisation you've worked on.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key points stand out. This helps us quickly see how you fit into our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Novomorphic!
How to prepare for a job interview at Novomorphic Ltd
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and understand the specifics of Edge AI. Familiarise yourself with concepts like AI model compression, quantisation, and deployment workflows. This will not only help you answer technical questions but also show your genuine interest in the role.
✨Showcase Your Projects
If you've worked on any relevant projects, especially those involving Python, PyTorch, or TensorFlow, be ready to discuss them. Highlight your experience with embedded systems or AI optimisation workflows. Real-world examples can make a big difference in demonstrating your skills.
✨Ask Smart Questions
Prepare thoughtful questions about Novomorphic's projects and their approach to low-power intelligent hardware. This shows that you're engaged and interested in how you can contribute to their goals. Plus, it gives you a chance to assess if the company culture aligns with your values.
✨Be Collaborative
Since the role involves working with various engineers, emphasise your teamwork skills. Share experiences where you collaborated across disciplines, whether in university projects or internships. This will highlight your ability to fit into their practical engineering culture focused on collaboration and delivery.
