Infrastructure Engineer - Edge AI Platform - Qualcomm - Remote - Europe (Barcelona)

Infrastructure Engineer - Edge AI Platform - Qualcomm - Remote - Europe (Barcelona)

14 oct
|
MaC VC
|
Barcelona

14 oct

MaC VC

Barcelona

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 [email protected] 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.

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📌 Infrastructure Engineer - Edge AI Platform - Qualcomm - Remote - Europe (Barcelona)
🏢 MaC VC
📍 Barcelona

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