AI Compiler Optimization Engineer (PAYE)

AI Compiler Optimization Engineer (PAYE)

Cambridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to optimise AI model performance using cutting-edge compiler technologies.
  • Company: Huawei is a global leader in ICT, driving innovation for a fully connected world.
  • Benefits: Enjoy flexible working, 33 days annual leave, and corporate discounts.
  • Why this job: Be part of a pioneering team shaping the future of AI and technology.
  • Qualifications: Proficiency in C/C++ and understanding of AI architectures required.
  • Other info: Work alongside industry experts and contribute to impactful research.

The predicted salary is between 36000 - 60000 £ per year.

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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:

  • 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.
  • 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

    Seniority level

    • Seniority level

      Entry level

    Employment type

    • Employment type

      Contract

    Job function

    • Job function

      Engineering and Information Technology

    • Industries

      Telecommunications

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    AI Compiler Optimization Engineer (PAYE) employer: Huawei Technologies Research & Development (UK) Ltd

    Huawei Technologies Research & Development (UK) Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, you will have the opportunity to work alongside industry experts, enjoy flexible working arrangements, and benefit from generous annual leave and corporate discounts. Located in the vibrant tech hub of the UK, Huawei provides a unique environment where your contributions can directly impact the future of AI and communications technology.
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    Contact Detail:

    Huawei Technologies Research & Development (UK) Ltd Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land AI Compiler Optimization Engineer (PAYE)

    Tip Number 1

    Familiarise yourself with the latest advancements in AI and compiler technologies. Follow relevant academic journals and online forums to stay updated on trends and breakthroughs that could give you an edge during interviews.

    Tip Number 2

    Engage with the LLVM and MLIR communities by contributing to open-source projects or participating in discussions. This not only enhances your skills but also demonstrates your commitment to the field, which can impress potential employers.

    Tip Number 3

    Prepare to discuss specific performance profiling tools you've used, such as TensorBoard or VTune. Be ready to share examples of how you've identified bottlenecks and implemented optimisations in past projects.

    Tip Number 4

    Showcase your teamwork and communication skills, especially in both Mandarin and English. Being able to collaborate effectively in a diverse environment is crucial for roles at global companies like Huawei.

    We think you need these skills to ace AI Compiler Optimization Engineer (PAYE)

    C/C++ Proficiency
    Compiler Infrastructure Knowledge (LLVM, MLIR)
    AI Model Architecture Understanding
    Inference Workflow Expertise
    Performance Profiling Tools Experience (e.g., perf, TensorBoard, VTune)
    CPU/XPU Hardware Architecture Familiarity
    Optimization Techniques Knowledge
    Analytical Skills
    Problem-Solving Skills
    Technical Writing Skills
    Research and Insight Development
    Self-Learning Ability
    Teamwork and Communication Skills in Mandarin and English

    Some tips for your application 🫡

    Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Compiler Optimization Engineer position. Tailor your application to highlight relevant skills and experiences that align with the job description.

    Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with compiler technologies, AI frameworks, and performance profiling tools. Mention any specific projects or contributions to open-source compiler projects that demonstrate your expertise.

    Showcase Technical Skills: Clearly outline your proficiency in C/C++ and familiarity with LLVM/MLIR. If you have published work or technical blogs on AI/compiler optimization topics, include these as they can set you apart from other candidates.

    Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also connects your background to Huawei's mission and values. Discuss how your skills can contribute to their vision of a fully connected, intelligent world.

    How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd

    Showcase Your Technical Skills

    Make sure to highlight your proficiency in C/C++ and your experience with compiler infrastructures like LLVM and MLIR. Be prepared to discuss specific projects where you've implemented performance optimisations, as this will demonstrate your hands-on experience.

    Understand AI Frameworks

    Familiarise yourself with the AI frameworks mentioned in the job description, such as TensorFlow and PyTorch. Be ready to talk about how you've profiled and optimised workflows in these frameworks, as this knowledge is crucial for the role.

    Stay Updated on Industry Trends

    Research the latest advancements in AI and compiler technologies. Being able to discuss recent papers or open-source projects will show your passion for the field and your commitment to continuous learning.

    Prepare for Problem-Solving Questions

    Expect technical questions that assess your analytical and problem-solving skills. Practice explaining your thought process clearly, as this will help interviewers understand how you approach challenges in optimisation and performance tuning.

    AI Compiler Optimization Engineer (PAYE)
    Huawei Technologies Research & Development (UK) Ltd
    Location: Cambridge
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