Senior AI Software Engineer

Huawei; Cambridge; On-site; GBP 110,000 - 160,000; Full time

Benefits offered by this job

33 days annual leave

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发展

Job summary

Huawei Research and Development UK Limited in Cambridge is seeking a Senior Software Engineer for the AI Processor Software & Hardware Co-design Lab to design and implement both compile-time and run-time optimizations enabling real-time AI on Huawei AI processors.

You will collaborate with cross-functional teams to integrate and deploy AI solutions on the Ascend platform, shaping performance, functionality, and efficiency of AI models and systems.

Qualifications

• Rich experience in optimizing AI chip architectures and AI systems.
• Hands-on experience of one of the following technologies: Numerical Calculation, Compilation, Algorithm & chip co-design, Runtime, Shared Memory.
• Knowledge of AI industry application scenarios and model development trends; extract chip-layer requirements.
• Experience analyzing workload sensitivity to micro-architecture features and recommending improvements.
• Familiarity with compute, memory, and communication configurations and their impact on AI acceleration.
• Experience with GPU compute APIs such as CUDA or OpenCL and using GPU/NPU-optimized libraries.
• Development of deep learning frameworks, compilers, or system software.
• Strong background in compilers and optimization techniques; LLVM-MLIR is a plus.
• Experience with C/C++ and Python software development.

Responsibilities

• Optimize AI processor architectures and systems end-to-end.
• Identify and drive evolution strategies for key technologies related to NPU chips.
• Develop end-to-end architectures by integrating algorithms, frameworks, runtimes, modeling, and compilers.
• Study AI trends and shape basic AI software/hardware architectures and usability/performance improvements.
• Collaborate with cross-functional teams to deploy AI solutions on Huawei Ascend platforms.

Skills

AI chip optimization

Heterogeneous architectures

C/C++

Python

LLVM-MLIR familiarity

Tools

CUDA

OpenCL

LLVM-MLIR

Job description

• As a Senior Software Engineer in the AI Processor Software & Hardware Co-design Lab, you will be responsible for designing and implementing both compile-time and run-time optimizations to enable real-time AI applications on Huawei AI processors. You will collaborate closely with cross-functional teams to integrate and deploy AI solutions on the Ascend platform, leveraging your expertise to shape the performance, functionality, and efficiency of our AI models and systems.


• Be responsible for one of the sub technical direction of AI Processor Software & Hardware Co-design Lab, identify key root technologies related to NPU chips, develop evolution strategies and roadmaps, promote and implement the evolution strategies to build industry-leading technical competitiveness, support Huawei's business success in the computing field.


• Carry out technology and business innovation, integrate several sub-domains of application algorithms, frameworks, runtime, modelling and simulation, and compilers from the perspective of processors, and build end-to-end architecture competitiveness.


• Grasp the AI industry and technology trends, gain insight into the development direction of AI applications and algorithms, develop key technical architectures of basic AI software and hardware, and resolve key usability and performance issues in full-stack AI through technical projects.

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.

Qualifications & Requirements

• Rich experience in optimizing AI chip architectures and AI systems, be familiar with mainstream heterogeneous computing software and hardware architectures in the industry, and have comprehensive capabilities from applications to basic software to chips.


• Hands‑on experience of one of the following technologies: Numerical Calculation, Compilation, Algorithm & chip co‑design, Runtime, Shared Memory.


• Knowledge of AI industry application scenarios, be familiar with mainstream models and algorithm development trends, and be able to extract requirements for the chip layer.


• Experience in analyzing workload sensitivity to micro-architecture features, evaluating performance trade-offs, and recommending improvements to both micro-architecture and application software for optimal efficiency.


• Familiarity with the performance impact of different compute, memory, and communication configurations, as well as hardware and software implementation choices, on AI acceleration.


• Experience with GPU compute APIs such as CUDA or OpenCL, and the ability to utilize GPU/NPU-optimized libraries to enhance performance.


• Experience in the development of deep learning frameworks, compilers, or system software.


• Strong background in compilers and optimization techniques; experience with LLVM-MLIR is a plus, but not required.


• Experience in software development using C/C++ and python.

Desired:

• Relevant experience in several sub-fields of AI application algorithms, frameworks, runtime, modelling and simulation, and compilers.


• In-depth understanding of the innovative methods, platforms, and tools of AI head manufacturers, and have experience in transforming application and academic research achievements into commercial products.


• Experience with GPU acceleration using AMD or Nvidia GPUs.


• Experience with developing inference backends and compilers for GPU or NPU.


• Experience with AI/ML inference frameworks like ONNXRuntime, IREE or TVM.


• Experience with deploying AI models in production environments.

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., 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.

• 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