Oho Group
Physical Design Engineer

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GPU Engineer
Location: London (Remote)
Join a fast-growing semiconductor startup redefining the future of AI hardware. The company is building next-generation silicon platforms designed to unlock unprecedented performance, efficiency, and scalability for the world’s most demanding AI workloads.
This is an opportunity to work alongside a team of world-class engineers solving some of the hardest challenges in computing.
The Role
The company is looking for a talented GPU Engineer to help shape the future of AI acceleration. You will work at the cutting edge of GPU technology, optimising compute performance, developing low-level software, and pushing custom silicon beyond current limits.
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.
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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.
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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 the opportunity to make a direct impact on architecture, performance, and the future direction of the platform.
What You’ll Do
- Develop and optimise GPU workloads for next-generation AI systems
- Push the boundaries of GPU performance through profiling and optimisation
- Work across hardware, software, and compiler teams to maximise efficiency
- Solve complex performance challenges across the compute stack
- Help build technology that will power the next generation of AI


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What We’re Looking For
- Strong C/C++ programming experience
- Experience with GPU programming (CUDA, OpenCL, HIP, or similar)
- Strong understanding of parallel computing and computer architecture
- Experience optimising high-performance workloads
- Passion for building cutting-edge technology
“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
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