Rodeo
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CodeGeniusRecruit

GPU Developer | Remote

United Kingdom
$300.00/hr
Posted about 18 hours ago
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Work Snapshot

  • Type: Contract
  • Location: Remote
  • Commitment: 10-40 hrs/week
  • Compensation: $300

What You'll Be Doing

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics such as L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
  • Review GPU kernel implementations and identify bottlenecks.
  • Write, modify, and reason about C++17, Python, and GPU programming code.
  • Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes.
  • Document optimization decisions clearly, including when specific profiler metrics are or are not useful.

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.

P

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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It 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.

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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

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.

What We're Looking For

  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming.
  • Have strong relevant experience in the domain working with GPUs.
  • Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels.
  • Ability to optimize GPU kernels without needing deep prior context on every algorithm.

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Application Process

  • Submit your application through the Easy Apply button.
  • Each application will be reviewed against the role requirements.
  • Candidates who meet the requirements will receive an email with the next steps.
  • Follow the instructions provided in the email to complete the remainder of the application process.
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Skills

C++17
Python
CUDA
HIP
GPU Kernel Optimization
GPU Profiling
Git
Slang
HLSL
GLSL
Shader Programming

Location

United Kingdom

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