Rodeo
Get started

Huawei R&D UK

AI Compiler Optimization Engineer

Cambridge
Posted about 14 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

About Huawei Research and Development UK Limited

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.

For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

  • Staying customer-centric
  • Inspiring dedication
  • Persevering
  • Growing by reflection

Huawei Research and Development UK Limited Overview

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.

See breakdown
Save jobNot relevant
View details

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.

See breakdown
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.

See breakdown
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.

Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.

Job Summary

We are seeking a skilled AI Compiler Optimization Engineer to optimize AI model inference performance through advanced compiler technologies. You will focus on performance tuning for CPU or hybrid CPU/XPU heterogeneous architectures, profiling AI frameworks to discover new optimization opportunities, and delivering cutting-edge insights from industry research.

Key Responsibilities

  • Compiler-Based Performance Optimization:

    • Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systems
    • Optimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvements
    • Preferred: Experience with LLVM/MLIR development
  • AI Model Profiling & Framework Optimization:

    • Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks
    • Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)
    • Preferred: Experience optimizing models on multiple AI frameworks

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job
  • Research & Insight Development:
    • Track and analyze the latest advancements in AI & compiler research (academic papers, open-source projects)
    • Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations
    • Preferred: Strong technical writing skills with prior publications or reports

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Person Specification

Required

  • Proficiency in C/C++ and compiler infrastructure (LLVM, MLIR, or similar)
  • Deep understanding of AI model architectures and inference workflows
  • Experience with performance profiling tools (e.g., perf, TensorBoard, VTune)
  • Familiarity with CPU/XPU hardware architectures and optimization techniques
  • Strong analytical and problem-solving skills

Desired

  • BSc/MSc/MSci in CS
  • Contributions to open-source compiler projects (LLVM/MLIR communities)
  • Experience with heterogeneous computing (CPU/GPU/XPU)
  • Published work or technical blogs on AI/compiler optimization topics
  • Good at self-learning, courageous to explore new things, strong in practical skill

What we offer

  • 33 days annual leave entitlement per year (including UK public holidays)
  • Group Personal Pension
  • Life insurance
  • Private medical insurance
  • Medical expense claim scheme
  • Employee Assistance Program
  • Cycle to work scheme
  • Company sports club and social events
  • Additional time off for learning and development
Trusted by 25,000+ job seekers

“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

Get help applying for this job

Skills

C++
C
LLVM
MLIR
Compiler optimization
AI model inference
Performance profiling
TensorFlow
PyTorch
ONNX
Llama.cpp
Heterogeneous computing
Kernel tuning
Graph-level optimization
CPU architecture
XPU architecture

Location

Cambridge, England, United Kingdom

Sign up to applySee more jobs like this