Compute Library Engineer
Cambridge, England, United Kingdom • Posted June 02, 2026
Job Type:
Permanent
Location:
Cambridge, England
Posted:
June 02, 2026
Category:
Computer Occupations
Application Deadline:
July 12, 2026
Role Description
Compute Library Engineer
£80,000 - £90,000 + bonus & hybrid working!
I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who is focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences.
They are a successful, growing business, offering the chance for an engineer to progress their career and achieve future aspirations. They provide a stable and supportive environment.
They are looking for a Compute Library Engineer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth for the company. You will have had some experience in the mentorship of more junior engineers and you will be utilising hardware features of GPU and ...
£80,000 - £90,000 + bonus & hybrid working!
I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who is focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences.
They are a successful, growing business, offering the chance for an engineer to progress their career and achieve future aspirations. They provide a stable and supportive environment.
They are looking for a Compute Library Engineer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth for the company. You will have had some experience in the mentorship of more junior engineers and you will be utilising hardware features of GPU and ...
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