Infrastructure Engineer
Pubblicato il 19-09-2026 - Qualcomm in Pavia
Company
Qualcomm Technologies Netherlands B.V.
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
Build the Platform Powering the Future of Edge AI
Join Edge Impulse as an Infrastructure/SRE Engineer and help scale the cloud platform behind millions of machine learning workflows. You’ll work with modern cloud-native technologies including AWS, Kubernetes, Terraform, Karpenter, Cilium, ArgoCD, and Buildkite to build reliable, secure, and cost-efficient infrastructure.
This is more than a traditional infrastructure role. You’ll help shape the platform that enables engineers worldwide to train, deploy, and manage ML models at scale across both CPU and GPU workloads. Your decisions will directly influence system reliability, developer productivity, cloud efficiency, and the evolution of our AI platform.
We are a fully remote team and are open to candidates across Europe.
Why join us?
- Work on cutting-edge AI and MLOps infrastructure that powers real-world Edge AI applications
- Help shape the platform strategy and technical direction of a fast-growing company
- Operate large-scale Kubernetes environments supporting both CPU and GPU workloads
- Tackle interesting challenges at the intersection of cloud infrastructure, machine learning, performance, and cost optimization
- Work with modern cloud-native technologies including Kubernetes, Terraform, Cilium, Karpenter, ArgoCD, Buildkite, and Datadog
- Join a highly collaborative, remote-first engineering culture with a strong focus on autonomy and ownership
- Contribute to open-source technologies and industry best practices
- Make a direct impact on a platform used by developers and enterprises around the world
- Grow your expertise across infrastructure, security, networking, platform engineering, and AI workloads
What You’ll Do
- Design, build, and evolve AWS infrastructure using Terraform across multiple production environments
- Scale Kubernetes clusters running both CPU and GPU workl