Senior Compute Library Engineer - Kernel / CUDA / OpenCL / GPU / NPU
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I am partnered with an incredibly exciting start up who work on AI Accelerators and RISC V technologies, who are looking to bring on a Compute Library Engineer to develop high-performance kernels for machine learning operators on NPU architectures.
They are an extremely high caliber team, and have historically hired from the likes of Apple, Intel and BSC and are looking to expand their site in Cambridge, which currently has around 20 people.
A bit about the role:
* High-performance kernel development for ML operators on NPU architectures
* Kernel Optimization
* Integration of kernels into the NPU framework
* Utilization of hardware features of GPU and accelerators which are specialized for AI applications
A bit about you:
* 5+ years of experience in kernel development for GPUs or NPUs
* Good experience with parallel programming languages such as CUDA or OpenCL
* Strong software development skills
* Knowledge of ML frameworks
* Familiarity with hardware architecture and system level understanding of NPUs or GPUs
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