Graduate Edge AI Engineer — Deploy AI Embedded Hardware

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.

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.

• 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.

• 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

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.

• Python and machine learning frameworks
• PyTorch 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

• 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.

• 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.