Senior AI Processor Software & Hardware Co-design Engineer

• 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.

• 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.
• Proficient in key bottlenecks identification based on scenarios such as NLP and large models and key application algorithms to drive reasonable software architecture evolution.

• Experience in software usability improvement projects.
• 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.

What we offer

• 33 days annual leave entitlement per year (including UK public holidays)

• Life insurance
• Private medical insurance
• Medical expense claim scheme

• Cycle to work scheme
• Social events
• Additional time off for learning and development