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AI Compiler Optimization Engineer (PAYE)

Huawei R&D UK

Cambridge

On-site

GBP 40,000 - 80,000

Full time

30 days ago

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Job summary

An established industry player is looking for a skilled AI Compiler Optimization Engineer to enhance AI model inference performance. This role involves implementing advanced compiler techniques, profiling AI frameworks, and driving innovation through research. You will work closely with industry experts, gaining insights and contributing to cutting-edge projects that shape the future of AI technologies. Join a dynamic team that values creativity and collaboration, and take your career to new heights in a supportive environment that fosters growth and learning. This is an exciting opportunity to make a significant impact in the tech landscape.

Benefits

Mentorship by industry experts
Flexible working
33 days annual leave
Group Personal Pension
Corporate retail discounts
Employee Assistance Programme
Life insurance
Corporate social events

Qualifications

  • Proficiency in C/C++ and compiler infrastructure is essential.
  • Experience with performance profiling tools and AI model architectures.

Responsibilities

  • Optimize AI model inference performance with compiler techniques.
  • Profile AI frameworks to identify optimization opportunities.
  • Research advancements in AI and compiler technologies.

Skills

C/C++ proficiency
Compiler infrastructure (LLVM, MLIR)
AI model architectures
Performance profiling tools
Analytical skills
Problem-solving skills
Teamwork and communication

Education

BSc in Computer Science
MSc in Computer Science

Tools

LLVM
MLIR
perf
TensorBoard
VTune

Job description

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

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:

  1. 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.
  2. 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.
  3. 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
    • Good teamwork and communication skills in both Mandarin and English

What We Offer:

  • Assign with an industry expert as Mentor
  • Fixed term employment contract up to two years
  • Flexible working
  • 33 days annual leave entitlement per year (including UK public holidays)
  • Group Personal Pension
  • Corporate retail discounts
  • Employee Assistance Programme
  • Life insurance
  • Corporate social events

Department CSI - Compiler Research Role Engineer Locations Huawei Cambridge Research Center

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