At a Glance
- Tasks: Join our team to develop and optimise AI models for cutting-edge hardware systems.
- Company: Novomorphic, a pioneering semiconductor design venture backed by industry leaders.
- Benefits: Enjoy 28 days of leave, private medical insurance, and a pension scheme.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Make a real impact in the exciting field of Edge AI and intelligent hardware.
- 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.
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
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 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 emphasis on technical excellence and collaboration, employees benefit from a supportive work culture that fosters innovation and personal growth, alongside competitive benefits such as private medical insurance and a generous annual leave policy. Join us to contribute to meaningful projects that shape the future of intelligent hardware while developing your skills in a dynamic and engaging environment.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Edge AI Engineer 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 intelligent hardware. 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 familiarising yourself with tools like PyTorch and TensorFlow. Practice coding challenges and be ready to demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows your enthusiasm for joining Novomorphic and being part of our innovative team.
We think you need these skills to ace Graduate Edge AI Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight any relevant projects or coursework related to Edge AI, machine learning, or embedded systems. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for Edge AI and intelligent hardware. Tell us why you're excited about this opportunity and how your background makes you a great fit for Novomorphic.
Showcase Your Projects:If you've worked on any relevant projects, whether in university or on your own, make sure to mention them. We love seeing practical applications of your skills, especially in Python, machine learning frameworks, or FPGA systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining 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 any relevant projects you've worked on. Be ready to discuss how your skills in Python, PyTorch, or TensorFlow can contribute to the role. The more you know about Edge AI and intelligent hardware systems, the better!
✨Show Your Problem-Solving Skills
Prepare to tackle some technical questions that test your analytical abilities. Think of examples from your studies or projects where you faced challenges and how you overcame them. This will demonstrate your problem-solving mindset, which is crucial for this role.
✨Collaborate Like a Pro
Since the job involves working with various engineers, be ready to talk about your teamwork experiences. Share instances where you collaborated across different domains, especially in software and hardware. Highlighting your ability to work well with others will show you're a great fit for their engineering culture.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s projects or future technologies they’re exploring. This shows your genuine interest in Novomorphic and helps you understand if it’s the right place for you. Plus, it gives you a chance to engage with the interviewers on a deeper level!
