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- Tasks: Optimise AI model performance using advanced compiler technologies and profiling frameworks.
- Company: Join Huawei, a global leader in ICT, driving innovation for a fully connected world.
- Benefits: Enjoy flexible working, 33 days annual leave, mentorship, and corporate discounts.
- Why this job: Be part of cutting-edge AI research and development, shaping the future of technology.
- Qualifications: Proficiency in C/C++, understanding of AI architectures, and experience with performance profiling tools required.
- Other info: Ideal for self-learners with strong teamwork skills; Mandarin and English proficiency preferred.
The predicted salary is between 28800 - 42000 £ per year.
Join to apply for the AI Compiler Optimization Engineer (PAYE) role at Huawei Technologies Research & Development (UK) Ltd
About Huawei Research And Development UK Limited
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.
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.
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 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.
- 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.
- Preferred: Experience optimizing models on multiple AI frameworks.
- Track and analyze the latest advancements in AI & compiler research.
- Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations.
- Preferred: Strong technical writing skills with prior publications or reports.
Person Specification:
- Required:
- Proficiency in C/C++ and compiler infrastructure.
- Deep understanding of AI model architectures and inference workflows.
- Experience with performance profiling tools.
- Familiarity with CPU/XPU hardware architectures and optimization techniques.
- Strong analytical and problem-solving skills.
- BSc/MSc/MSci in CS
- Contributions to open-source compiler projects.
- Experience with heterogeneous computing.
- 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
- Group Personal Pension
- Corporate retail discounts
- Employee Assistance Programme
- Life insurance
- Corporate social events
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AI Compiler Optimization Engineer (PAYE) employer: Huawei Technologies Research & Development (UK) Ltd
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 open-source projects to stay updated, as this knowledge will be crucial during interviews.
✨Tip Number 2
Engage with online communities focused on LLVM and MLIR. Participating in discussions or contributing to projects can help you network with professionals in the field and demonstrate your passion for compiler optimization.
✨Tip Number 3
Prepare to discuss specific performance profiling tools you've used, such as TensorBoard or VTune. Being able to articulate your experience with these tools will show your practical skills and understanding of AI model workflows.
✨Tip Number 4
Highlight any contributions to open-source projects in your conversations. This not only showcases your technical abilities but also your commitment to the community and continuous learning, which aligns with Huawei's values.
We think you need these skills to ace AI Compiler Optimization Engineer (PAYE)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI Compiler Optimization Engineer role. Focus on your proficiency in C/C++, compiler infrastructure, and any experience with AI frameworks like TensorFlow or PyTorch.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in working at Huawei and how your background makes you a suitable candidate for this position. Mention specific projects or experiences that demonstrate your expertise in compiler optimization.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in compiler technologies such as LLVM and MLIR. If you have contributed to open-source projects or have publications, be sure to mention these as they can set you apart from other candidates.
Research Huawei's Values: Familiarise yourself with Huawei's mission and core values. Reflect these in your application by demonstrating how your personal values align with their commitment to innovation, customer-centricity, and collaboration.
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 infrastructure like LLVM or 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 popular AI frameworks such as TensorFlow, PyTorch, and ONNX. During the interview, be ready to talk about how you've profiled these frameworks and identified bottlenecks, 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 academic papers or open-source projects will show your passion for the field and your commitment to continuous learning.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios or technical challenges during the interview. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical and problem-solving abilities effectively.
