ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Senior Software Engineer - AI Compute Libraries at Graphcore - ApplyBlast

Senior Software Engineer - AI Compute Libraries

Graphcore

1 day ago

4.7 on Glassdoor

Bristol, England, United Kingdom

Onsite

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

The Senior Software Engineer will develop, maintain, and release C++ libraries and runtime APIs for Graphcore's AI hardware, focusing on developer-facing components and clear abstractions for low-level capabilities. This role involves designing reliable and performant software, managing the full lifecycle of library changes, and supporting developers with documentation and integration guidance. The position requires collaboration with specialists in accelerator software and performance engineering to deliver well-tested APIs and dependable releases.

Responsibilities

Develop and maintain C++ libraries and runtime APIs for AI hardware
Design clear abstractions for low-level hardware capabilities and improve performance
Write API documentation and guide developers on integrating libraries into the software stack

Skills

About Graphcore

graphcore.ai

Headquarters

Bristol, England, United Kingdom

Company Size

501-1000 employees

Founded

2016

View Profile

Graphcore is a semiconductor and systems company that designs the Intelligence Processing Unit (IPU), a processor architecture purpose-built for machine intelligence to accelerate machine learning and AI workloads. It offers IPU-based servers and cloud access together with the Poplar software stack, compilers and developer tools to run training and inference at scale and integrate with common ML frameworks. Graphcore’s platform targets researchers and enterprises that need higher performance, efficiency and scalability for large models and intelligent applications across cloud and on‑prem deployments.