At a Glance
- Tasks: Develop and optimise AI models for low-power intelligent hardware systems.
- Company: Join Novomorphic, a cutting-edge semiconductor design venture.
- Benefits: Enjoy 28 days' leave, private medical insurance, and a bonus scheme.
- Other info: Collaborative environment with opportunities for real engineering impact.
- Why this job: Work on innovative Edge AI technologies and shape the future of intelligent hardware.
- Qualifications: Degree in AI, Machine Learning, or related fields; strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
Edge AI & Intelligent Hardware Programme
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
- Py Torch or Tensor Flow
- 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.
#J-18808-Ljbffr
Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff employer: Novomorphic Ltd.
At Novomorphic, we pride ourselves on being an excellent employer by fostering a culture of technical excellence and collaboration in the heart of Cardiff. Our commitment to employee growth is evident through hands-on experience with cutting-edge Edge AI technologies and a supportive environment that encourages curiosity and ownership. With competitive benefits including a generous leave policy and tailored support, we offer a rewarding workplace for graduates eager to make a meaningful impact in the semiconductor and intelligent hardware industry.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff
✨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 Novomorphic Ltd. 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 Novomorphic Ltd..
✨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 Novomorphic Ltd..
✨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 Novomorphic Ltd. 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 Graduate Edge AI Engineer — Deploy AI on Embedded Hardware in Cardiff
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 Novomorphic Ltd..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Novomorphic Ltd. 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 Novomorphic Ltd.
✨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 Novomorphic Ltd. 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.
