European Tech Recruit
Principal GPU Architect

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Principal GPU Architect
European Tech Recruit are working closely with a leading fabless semiconductor company, based in Cambourne, who are looking for a talented Principal GPU Architect to join their team.
Responsibilities as Principal GPU Architect
- Build and maintain cycle-accurate / performance / functional models of GPU subsystems (e.g., shader cores, fixed-function units, memory hierarchy, interconnect).
- Use modeling and profiling to explore architectural trade-offs (performance, power, area) and guide microarchitecture decisions.
- Analyze workloads (games, graphics benchmarks, GPU compute, AI/ML kernels) using simulation and hardware profiling to identify bottlenecks and optimization opportunities.
- Collaborate closely with model, RTL, DV, driver and compiler and performance teams to ensure architectural intent is correctly implemented, verified and tuned.
- Provide architectural input to compiler/driver/runtime teams to maximize utilization of GPU hardware through software optimizations.
- Develop methodologies, tools and automation flows for GPU performance estimation, capacity planning and regression analysis.
- Lead the debug and root cause analysis of performance, power and bandwidth issues observed in models, emulation and silicon.
- Drive cross-team technical discussions, present modeling results and architectural proposals, and influence roadmap decisions for next generation GPUs.
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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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.
Required
- BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors.
- 7+ years of industry experience.
- Experience in GPU, graphics, high performance compute, AI accelerator, or related architecture/modeling areas.
- Strong experience with performance and/or cycle accurate modeling, simulation frameworks, or architectural exploration for complex SoCs or accelerators.
- Solid understanding of graphics and compute APIs such as Vulkan, OpenGL, DirectX and/or GPU compute frameworks (e.g., OpenCL, CUDA, Metal).
- Proficiency in at least one modeling or implementation language (e.g., C/C++, SystemC, Python) and familiarity with scripting for data analysis and automation.
- Experience with performance analysis tools, profiling methodologies and workload characterization for games, benchmarks and/or GPU compute workloads.
- Good written and oral communication skills, with the ability to present complex technical topics clearly and drive consensus across teams.


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Preferred Qualifications
- Experience with mobile/low power GPU design and power/performance trade off analysis.
- Background in compiler, driver, or runtime optimization for GPUs or accelerators.
- Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures.
- Experience collaborating with silicon implementation, physical design and DV teams on performance and power sign off.
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)
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