Infrastructure Engineer - Edge AI Platform - Qualcomm - Remote - Europe

MaC VC; Madrid; Remote; EUR 90,000 - 130,000; Full time

Job summary

Qualcomm Technologies Netherlands B.V. seeks an Infrastructure/SRE Engineer to scale a cloud platform powering ML workflows. Work with AWS, Kubernetes, Terraform, Cilium, ArgoCD, Buildkite, and Datadog to build secure, cost-efficient infrastructure.

Join a remote-first team across Europe and help drive reliability and developer productivity at scale. The role emphasizes platform engineering, observability, security, and cost optimization, with impact across CPU and GPU workloads and global

Qualifications

• Bachelor's degree in a relevant field with several years of software or infrastructure experience.
• Advanced degrees or PhD are considered for highly experienced candidates.
• Experience with modern cloud platforms and distributed systems is essential.

Responsibilities

• Design and build AWS infrastructure using Terraform across multiple environments.
• Scale Kubernetes clusters for CPU/GPU workloads with high reliability and cost efficiency.
• Enhance networking with Cilium and eBPF for observability and security.
• Develop CI/CD pipelines using Buildkite and manage GitOps with ArgoCD.
• Improve platform observability with Datadog and strengthen security practices.

Skills

SRE

Platform Eng

DevOps

Cloud Infra

AWS / EKS

Terraform

Kubernetes

Cilium

eBPF

GitOps

Buildkite

ArgoCD

Datadog

TypeScript

Python

Bash

Education

Bachelor's degree in Engineering, Info Systems, CS, or related field

Master's degree in Engineering, Info Systems, CS, or related field

PhD in Engineering, Info Systems, CS, or related field

Tools

Terraform

Kubernetes

ArgoCD

Buildkite

Datadog

Cilium

Job description

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 workloads, improving performance, reliability, and cost efficiency
• Enhance our Cilium-powered networking stack, driving visibility, security, and connectivity across services
• Build and improve CI/CD workflows using Buildkite to help engineering teams ship faster and more confidently
• Operate GitOps-driven deployments with ArgoCD, automated validations, and progressive delivery strategies
• Develop internal developer platform tooling in TypeScript and automation frameworks that reduce operational toil
• Expand observability across the platform using Datadog dashboards, metrics, logs, and alerting
• Strengthen platform security through modern secrets management, access controls, and infrastructure best practices
• Participate in incident response, capacity planning, and cloud cost optimization efforts that have company-wide impact

We'd love to hear from you if you have

• Experience in SRE, Platform Engineering, DevOps, or Cloud Infrastructure roles
• Strong AWS expertise, particularly with EKS, IAM, VPC, RDS, and S3
• Hands-on experience managing infrastructure with Terraform
• Solid Kubernetes knowledge including networking, RBAC, autoscaling, and cluster operations
• Experience with Cilium, eBPF networking, service mesh technologies, or an interest in becoming an expert in this space
• Familiarity with GitOps practices and tools such as ArgoCD
• Experience building CI/CD pipelines using Buildkite or similar platforms
• Proficiency in TypeScript, Python, Bash, or other infrastructure-focused languages
• A passion for building reliable systems and improving developer experience
• Strong communication skills and the ability to thrive in a distributed, remote-first environment

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
• References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.