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Principal NPU Architect - Hybrid

Cambridge

JOB AD:

Develop and Optimize the hardware architecture for Ascend Core, focusing on performance, power efficiency and scalability.

Design custom ISA and hardware components that effectively support AI algorithms and functions; balancing performance, power consumption and areas trade-offs Participate in design review and providing technical guidance to team members.

Stay up-to-date with the latest trends and advancements in AI algorithms, AI hardware and semiconductor technologies.

Collaboration & Project Management

Collaborate with software teams to ensure seamless integration of Ascend Core Chipset with AI frameworks, compliers and running system.

Work closely with cross function team to ensure the successful development and deployment of Ascend Core Products.

Skills/Qualifications

Essential

Rich experience in CPU or GPU architecture and micro-architecture concepts Rich experience in ISA development, caching, or memory subsystem design Familiar with ML framework such as PyTorch, Tensorflow Proficient in VHDL/Verilog Proficient in C/C++ and scripting language such as Perl, Python and Ruby

Desirable

Logical Design background

Accelerating DNN network, particular on transformer network and GNN Hands on Experience with architecture modelling using higher level language such as C/C++ Knowledge of complier backend, such as code generation, performance analysis and code Optimization

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