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Oho Group

Physical Design Engineer

London
Posted about 22 hours ago
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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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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

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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
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Skills

C++
CUDA
OpenCL
HIP
GPU Programming
Parallel Computing
Computer Architecture
Performance Profiling
Performance Optimization

Location

London, England, United Kingdom

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