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GPU Developer | Remote

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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.
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.
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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