Build Engineer for ML Software Stack & Infra

Build Engineer for ML Software Stack & Infra

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
graphcore

At a Glance

  • Tasks: Join a team to build and integrate cutting-edge Machine Learning software.
  • Company: Graphcore, a leader in AI technology with a collaborative spirit.
  • Benefits: Competitive salary, flexible working options, and opportunities for growth.
  • Other info: Dynamic work environment with a focus on teamwork and creativity.
  • Why this job: Be at the forefront of ML innovation and make a real difference.
  • Qualifications: Proficient in Python/C++ with experience in Linux and build systems.

The predicted salary is between 60000 - 80000 Β£ per year.

Graphcore is seeking a Software Build Engineer to join the Build Engineering function within Software Operations. You will help build and integrate the Machine Learning Software Stack, supply internal tooling for builds, testing, and releases, and collaborate across QA, development, and architecture teams to ensure reproducible, secure build processes.

You will work with Linux environments and be proficient in Python/C++, with knowledge of build systems and container technologies.

Build Engineer for ML Software Stack & Infra employer: graphcore

Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.

graphcore

Contact Details:

graphcore Recruitment Team

We think you need these skills to ace Build Engineer for ML Software Stack & Infra

Build Engineering
Machine Learning Software Stack
Internal Tooling Development
Testing and Release Management
Collaboration with QA Teams
Collaboration with Development Teams
Collaboration with Architecture Teams