Compute Library Engineer

2 weeks ago

Cambridge, United Kingdom Neubla Full time

Compute Library Engineer in Cambridge, UK
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.

About Neubla

As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise and lots of experience in many different fields such as AI, semiconductor design, and compilers. At Neubla, you can work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences, working with talented colleagues. Neubla offers a competitive package with benefits, including health insurance, a pension scheme, employee wellness support, and a variety of snacks in the office

Summary

As a Compute Library (CL) Engineer at Neubla, you will play a crucial role in the dynamic team responsible for crafting and optimizing the Compute Library tailored specifically for our designated hardware platform. Your contributions will be instrumental in advancing the capabilities and performance of our cutting-edge technology.

Job Description

Develop high-performance kernels for machine learning operators on NPU architecturesOptimize existing kernels to ensure maximum efficiency and performanceCollaboratae with the hardware and software teams to integrate kernels into the NPU frameworkConduct thorough testing and debugging of kernels to ensure reliability and functionalityUtilize hardware features of GPU and accelerators specialized for AI applications, including convolutions, matrix multiplication units and high-bandwidth interconnectionsDocument and maintain clear, concise, and comprehensive code and design documentation

Qualifications

Masters, PhD, or equivalent experience in Computer Engineering, Electrical Engineering, or related fieldMinimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra)Proficiency in CUDA, OpenCL, or similar parallel programming languagesExperience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.)Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.)Excellent problem-solving skills with a logical and analytical mindsetStrong communication and interpersonal skills to collaborate effectively within a team environmentAbility to work independently, manage multiple tasks, and thrive in a fast-paced, dynamic work environment

Preferred Qualifications

Experience in optimizing kernels for power efficiency and low-latency applicationsFamiliarity with hardware architecture and system-level understanding of NPUs or GPUsKnowledge of performance profiling tools and methodologiesContributions to projects related to parallel computing or machine learning

The Process

Application review > 1st Interview > 2nd Interview (technical) > 3rd Interview

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