Performance Engineer (Junior) | AI Infrastructure | Cambridge (Hybrid) | up to £70k Most engineers find out whether a change works after it ships. This role is about knowing before anyone spends a penny on new hardware, building the models that predict itMy client is a Cambridge-based non-profit built on a fairly simple premise: different bits of the AI world keep solving the same infrastructure problems separately, and that's wasteful. So they've built a shared space where startups, big enterprises, government bodies and university researchers can pool that hard technical work instead. Early days as an organisation, but real backing and real momentum behind it.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
This particular seat is for an early career professional. We're after someone academically exceptional, ideally with a PhD, who's ready to get stuck into real technical work quickly rather than needing a long runway to get there.
Day to day
You'd work alongside senior engineers on the team, pulling real metrics off live training and inference jobs and turning them into models and calculators that answer actual questions, whether an optimisation is worth shipping, whether a different setup would run cheaper. Real ownership early, with senior support close by.
What you'll bring
A postgraduate research background, ideally a PhD in computer science, mathematics, physics or a closely related field, strongly preferred, exceptional recent master's graduates with directly relevant coursework will also be considered
A genuine, demonstrated grasp of computer architecture fundamentals and how LLMs and deep learning models actually run on hardware, training versus inference, matrix multiplication, KV-caching
Real experience building performance models or forecasting tools, Python or spreadsheet-based, from research, a thesis, a placement, or serious personal projects
Hands-on work with GPU or accelerator code, CUDA or similar
Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana)
Strong Python for data work, Pandas and NumPy, genuine scripting abilityNice to have: exposure to inference serving frameworks like vLLM, published research, or open source contributions in this space. xgikmsk
Why look twice at this one
An early route into industry for someone whose academic record speaks for itself, working directly with senior engineers on problems with real backing b...
Remote working/work at home options are available for this role.
Performance Engineer (Junior) | AI Infrastructure | Cambridge (Hybrid) in Hardwick employer: Pure Resourcing Solutions Limited
Join a leading manufacturer in the construction materials sector that prioritises employee wellbeing and development. With a strong commitment to training, including full Microsoft certification support, and a culture that values people, you will thrive in an environment recognised for its Investors in People Platinum status. This role not only offers competitive benefits but also the chance to work on innovative digital solutions in a collaborative team setting in Ipswich.
Contact Details:
Pure Resourcing Solutions Limited Recruitment Team
