Imagination Technologies
GPU Datapath Design Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
The role
Working in the GPU Datapath team, a unique applied research team with a remit both to research and to deliver high performing hardware, you will be a vital part of the development of innovative mathematical components. You will be able to contribute to the development of our XE series of GPUs and others. No prior knowledge of digital hardware is required. Full training will be provided on both industry tools and cutting-edge techniques developed in-house, and you will be creating your own original ideas to push out the boundary of what can be achieved.
You will:
Work with a team of mathematically focused engineers to design optimal arithmetic hardware components. Have the unique chance to contribute to cutting-edge GPU products. Understand, crystallise and extract the requirements for arithmetic hardware blocks with engineers throughout Imagination. Design and evaluate a variety of hardware architectures for implementing math intensive blocks. Research new techniques for implementing a vast range of mathematical operations in silicon. Produce patentable work in a research and invention focused environment. Plan and schedule your own work, whilst educating other members of the company on datapath designs.
About You
Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You'll have:
Programming experience, especially with SystemVerilog, VHDL, C(++), Python, Tcl or shell. The ability to imagine and implement improvements to a whole range of processes. The ability to communicate complex technical information concisely and unambiguously both verbally and in writing. A critical mind with the ability to think both abstractly and concretely. Tenacity and the ability to work and communicate with others to get things done.
You might also have:
Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies. Hands-on experience with ASIC, FPGA, and physical design tools (P&R). Experience with computer assisted proof via industry tools or automated theorem provers. Experience with scientific computing and numerical libraries. Knowledge of floating point arithmetic and implementation. Experience with optimising arithmetic hardware. Experience in GPU/CPU design and associated methodologies such as UVM. Strong communication skills, both written and spoken, in English. Experience writing your own rigorous mathematical proofs.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Who We Are
Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces.
We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before.
So come join us if you're wanting that something more
Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions.
As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology.
Additional Information
If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email recruitment@imgtec.com.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills