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AI chip jobs UK: what the £1.1bn AI Hardware Plan means for you
The UK is betting £1.1bn on AI hardware. Here's who's hiring AI chip engineers, the skills they want and how you get in.
By Julie Fixter, Client Partnership Consultant, Future Tech Jobs
Every AI model you've ever used runs on a chip.
Somebody has to design it. Somebody has to test it. Somebody has to stop it cooking itself.
AI chip jobs in the UK are growing because the government and investors are putting serious money into hardware. In June 2026 the government set out a £1.1bn AI Hardware Plan. In late September the Semiconductor Catapult relaunched with a new focus on AI hardware and defence. And employers including Fractile, Lumai and Cambridge GaN Devices are hiring right now on Semiconductor Jobs.
Here's what's happening, who's hiring and how you get in.
A big few months for UK chips
In the last few months alone:
13 May: Bristol and London chip start-up Fractile raised $220m in a Series B round to build AI inference chips. It plans a £100m expansion over three years, including a new hardware engineering facility in Bristol.
8 June: the government announced a £1.1bn AI Hardware Plan at London Tech Week. It includes £750m for a new AI supercomputer, up to £150m to buy novel high-performance inference chips, a £120m AI Hardware Programme and a skills package worth more than £80m.
29 September: the Compound Semiconductor Applications Catapult relaunched as the Semiconductor Catapult, with labs in Newport, Bristol and Glasgow.
Add the backdrop. A government-commissioned study puts UK semiconductor revenue at £10.6bn in 2024/25, across 297 dedicated semiconductor companies employing around 16,350 people.
The message is clear: the UK wants to build the chips, not just buy them.
And chips don't build themselves.
What is an AI chip job, exactly?
An AI chip job is any role that designs, verifies, tests, packages or powers the hardware that runs AI. That's different from using AI tools to design chips, which we covered in our guide to AI-driven chip design. This is the other way round: chips built for AI.
The Semiconductor Catapult's four focus areas are a handy map of where the work is heading:
Advanced packaging and heterogeneous integration, including chiplets and system-in-package designs. Think packaging engineers and thermo-mechanical specialists.
Power electronics and thermal management for high-density AI hardware. Think power IC designers and thermal engineers.
Photonics and optical interconnects, including silicon and quantum photonics. Think photonics engineers and signal integrity specialists.
RF and mixed-signal integration. Think analog and mixed-signal IC designers.
Then there are the classic chip roles every AI accelerator still needs: RTL design, verification, physical design, test and product engineering.
If your laptop fan has ever sounded like a small jet engine, you already understand the problem. AI is power hungry. The people who make it faster and cooler are the ones employers want.
Who's hiring AI chip engineers in the UK right now
Here's who has live roles on the board as I write, for anyone who prefers names to theory:
Fractile (Bristol and London). Builds AI inference chips that use in-memory compute, running calculations directly in memory. Roles on its company page include Semiconductor Product Engineer, Lead RTL Designer, Silicon Infrastructure Engineer and Processor Architect, alongside Semiconductor Test Engineer and test team leader roles in Bristol.
Lumai (Oxford). An optical compute company spun out of University of Oxford research in 2021, doing AI maths in beams of light. Yes, really. It's hiring Senior Hardware Engineers in signal and power integrity and PCB layout, plus an AI Modelling and Simulation Engineer.
Cambridge GaN Devices (Cambridge). A fabless Cambridge University spin-out developing energy-efficient gallium nitride power devices. It's hiring senior analog and mixed-signal IC designers, an R&D Project Manager and a Director of Packaging to lead a packaging team it describes as expanding.
NVIDIA (Bristol). A Developer Technology Engineering Intern role in compute performance, for master's or PhD students who want to make scientific and engineering software run faster on GPUs.
Notice something? Bristol, Oxford, Cambridge and London, with Catapult labs in Newport and Glasgow too. This isn't one postcode.
The chips keep getting smaller. The opportunity doesn't.
The skills AI chip employers are asking for
For anyone who likes their skills list neat, here's what keeps coming up in the live adverts:
Test and DFT: ATE test programme development on platforms such as Advantest 93K or Teradyne, plus scan, ATPG and memory BIST (Fractile).
High-speed interfaces: PCIe Gen5 and Gen6 and LPDDR (Fractile, Lumai).
Signal and power integrity: EM and circuit simulators such as HFSS, SIwave, ADS or Sigrity, plus transmission line theory and PDN design (Lumai).
Analog and mixed-signal IC design for GaN power ICs (Cambridge GaN Devices).
Packaging: wirebond, flip chip and embedded packages, and multiphysics simulation covering thermal and mechanical behaviour (Cambridge GaN Devices).
Software close to the metal: C and C++, CUDA, linear algebra and numerical methods (NVIDIA).
Scripting: Python or MATLAB, listed as a plus (Lumai).
Before you panic, nobody wants all of it.
Pick your lane. Go deep. Then show it.
How to get into AI chip jobs
Your route depends on where you're starting from.
If you're a student or graduate, the timing is good. The AI Hardware Plan includes an expanded £48m semiconductor skills programme running from schools to doctoral level, with a focus on chip design and verification. Undergraduate bursaries rise from 300 in 2025/26 to 400 in 2026/27 and 500 in 2027/28. Internships like NVIDIA's are a strong first step, and our guide to semiconductor careers covers graduate schemes and placements too.
If you're already an electronics engineer, you may be closer than you think. PCB layout, signal integrity, FPGA and production test skills all appear in AI chip adverts right now. Fractile's Semiconductor Test Engineer role, for example, asks for a BS or MS in electronics or a related field and five or more years of hands-on semiconductor test experience. No PhD required.
Whatever your starting point, here's the bit I'd really want you to hear. In niche tech, the best candidates aren't scrolling job ads. They're choosing between offers. And when they choose, they pick the companies they already know. So get to know the employers now. Follow them, read their adverts, understand what they're building and why. Set up a job alert so their next role lands in your inbox, not someone else's. Upload your CV so the right people can find you. Specialist roles need a specialist audience, and you want to be in it before the vacancy goes live, not after.
Don't wait for the vacancy. Be on the radar before it opens.
FAQ: AI chip jobs in the UK
Are there AI chip jobs in the UK?
Yes. UK employers including Fractile in Bristol and London, Lumai in Oxford and Cambridge GaN Devices in Cambridge have live roles on Semiconductor Jobs, from test engineering and RTL design to signal integrity and packaging. NVIDIA is also advertising a compute performance internship in Bristol.
What is the UK AI Hardware Plan?
It's a £1.1bn government plan announced in June 2026. It includes £750m for a new AI supercomputer, up to £150m to buy novel inference chips, a £120m AI Hardware Programme and a skills package of more than £80m, including a £48m semiconductor skills programme.
What does the Semiconductor Catapult do?
Relaunched in September 2026, it helps start-ups, SMEs and larger companies design, integrate, test and validate semiconductor technologies, with labs in Newport, Bristol and Glasgow. Its focus areas are advanced packaging, power electronics, photonics and RF and mixed-signal integration.
What skills do I need for an AI chip job?
It depends on the role. Current UK adverts ask for skills such as ATE test and DFT, PCIe and LPDDR interfaces, signal and power integrity simulation, analog and mixed-signal IC design, semiconductor packaging, and C++ or CUDA for performance roles.
Do I need a PhD to work on AI chips?
Not always. Many industry roles ask for a bachelor's or master's degree in electronics or a related field plus hands-on experience. Some research-heavy roles and internships prefer master's or PhD students.
Any questions, let me know! I'd love to hear which corner of the chip world you're eyeing up.
Find your next AI chip job
The right role, the right board, the right people. Here's where to start:
Set up a job alert so new AI hardware roles come straight to you
Upload your CV and let employers find you
See who's hiring: Fractile and Cambridge GaN Devices
About the author
Julie Fixter is a Client Partnership Consultant at Future Tech Jobs, helping employers and recruitment partners reach specialist talent across AI, quantum, robotics, semiconductors, space and the rest of the FTJ network. She spent seven years in sales at a UK software house before joining FTJ, and trained in psychodynamic counselling, which shapes how she thinks about what candidates actually want from a move. Based in Manchester. Connect with Julie on LinkedIn.
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