Infrastructure and MLOps Engineer
Brak informacji o wynagrodzeniu
MidFull-time
#375877·Dodano wczoraj·0
Źródło: GraphcoreTech Stack / Keywords
MLOpsAIMachine LearningSoftware DevelopmentKubernetesDockerCloudTerraform
Firma i stanowisko
Graphcore is a company building the future of AI compute, specializing in semiconductor, software, and AI expertise to create a complete AI compute stack from silicon to datacenter-scale infrastructure. It is part of the SoftBank Group and delivers technology into the SoftBank AI ecosystem.
Wymagania
Essential:
- Knowledge of Python
- Familiarity with cloud services (e.g. AWS)
- Experience managing or developing in Linux environments
- Understanding of CI/CD principles
- Experience using Kubernetes (k8s)
- Experience in one of the following: maintaining machine learning applications, deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot), managing ML accelerator hardware (e.g. DCGM)
Desirable:
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
- Experience with GitHub Actions
- Experience with modern observability tooling (e.g. Prometheus)
- Experience with Grafana
- Knowledge of Go/Java/C++ (or similar language)
Obowiązki
- Develop, own, and maintain tools and services to support AI research and engineering teams
- Deploy and maintain services with Kubernetes and Docker
- Manage Cloud Infrastructure using tools such as Terraform
Benefity
- Competitive salary
- Annual leave policy
- Medical and dental health plans
- Gym card
- Employee pension matched up to 4%
- Flexible approach to interview and reasonable adjustments
- Equal opportunity process and inclusive work environment
Płatny urlop
Opieka zdrowotna
Karta sportowa
Ubezpieczenie
Graphcore
33 aktywne oferty