About DigitalCNC
DigitalCNC originates from the University of Sheffield’s Advanced Manufacturing Research Centre (AMRC). We build physics-based machining intelligence — our platform predicts machine behaviour, analyses toolpaths, and simulates performance before a single cut is made, giving aerospace and defence manufacturers the confidence to get complex components right first time.
We work with the most demanding manufacturers in the sector. We’re looking for an engineer who wants to see their work matter at the machine.
The role
You’ll join a small, fast-moving team developing and deploying advanced machining and optimisation technologies. This is an environment where you can go from whiteboard to product in the same day. Theory is only useful here if it ships.
Responsibilities span algorithm development, driving the product roadmap, and implementing solutions directly into DigitalCNC software.
What you need
- Strong software development skills in Python, C++, MATLAB or similar
- Familiarity with physics-based simulation and machine learning techniques
- Sharp analytical and problem-solving ability, with genuine attention to detail
- Clear communicator who can collaborate across engineering, product, and commercial teams
- Master’s or PhD in Mechanical Engineering, Manufacturing Engineering, Applied Mathematics, or a closely related field
Depth we value
You don’t have to tick every box. Tell us where your depth sits.
- Machining science: CAM/CNC programming, toolpath strategy design and optimisation,, metal cutting mechanics
- Physics modelling: mechanical engineering, materials science, control systems
- Mathematics and ML: optimisation, dynamical systems, statistical modelling, causal inference
- Applied ML: model training, data curation, LLM workflows, agentic coding
- Aerospace or defence manufacturing experience is a plus
Location
Based in Sheffield. Hybrid working. Part of the UK’s most connected advanced manufacturing ecosystem.
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