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Kubernetes Jobs at Graphcore
24 open positions · Updated 1 week ago
24 Kubernetes roles across 1 company, most in DevOps/SRE
Who is hiring (1 companies)
Role types
Work arrangement: 2 hybrid · 3 on-site · 19 not stated
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 24 positions
Search with filters →Join Graphcore as a Staff System Software Engineer in Test to ensure the quality of drivers for next-generation AI systems.
Build Go services that connect AI accelerator hardware with Kubernetes in a senior role at Graphcore.
Join Graphcore as a Staff QA Engineer to build quality foundations for Kubernetes systems powering next-generation AI compute.
Join Graphcore as a Software Infrastructure Kubernetes Engineer to scale and manage infrastructure for AI solutions.
Join Graphcore's Software Infrastructure team to develop tools and services for scaling and managing AI infrastructure.
Join Graphcore as a Staff Engineer to develop critical system management interfaces for AI solutions in a collaborative environment.
Join Graphcore as a Staff Software Engineer to lead the validation of next-generation drivers for AI compute in a hands-on technical role.
Join Graphcore as a Software Infrastructure Kubernetes Engineer to scale and manage infrastructure for AI breakthroughs.
Join Graphcore's Software Infrastructure team to develop tools and services for scaling and managing AI infrastructure.
Join Graphcore as a Staff Software Engineer to lead the validation of next-generation drivers for AI compute in a hands-on technical role.
Lead software development for AI accelerators in Kubernetes, shaping user interactions in cloud-native environments.
Join Graphcore as a Senior QA Engineer to enhance the reliability of its observability platform for AI infrastructure.
Join Graphcore as a Principal Engineer to lead the development of critical system management interfaces for AI solutions.
Join Graphcore as an Infrastructure and MLOps Engineer to scale and manage AI compute infrastructure and tools.