Qualcomm logo
Qualcomm
Posted 18 days agoVerified live 1d ago

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

Brief overview

Remote
MastersOr in progress
4+ yrsMinimum
4,325 H-1B approvalsDept. of Labor
390 green cardsCertified filings
AWSKubernetesTerraformCiliumArgoCDBuildkiteTypeScriptPythonBashEKSIAMVPCRDSS3eBPF NetworkingGitOpsCI/CD

About the company

Qualcomm logo
Qualcommqualcomm.com

Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.

Visa sponsorship history

4 years sponsoring, last filed FY2026H-1B dependent

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
4,325H-1B approved
98%approval rate
1,130new H-1B hires
390PERM certified
$152,479median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,438
20241,291
20251,343
2026253
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023328
2024304
2025284
2026378
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023245
202488
202527
202630
Top sponsored roles
Senior Software EngineerSenior ASICS EngineerSenior Staff CPU EngineerStaff GPU EngineerSenior Staff ASICS Engineer
Sponsored employees from
IndiaChinaTaiwanSouth KoreaCanada

Job description

Summary

Qualcomm Technologies, through its Edge Impulse platform, develops infrastructure supporting machine learning workflows and Edge AI applications. The Infrastructure Engineer will design and operate AWS and Kubernetes infrastructure, improve CI/CD, networking, observability, security, and developer tooling, and support incident response, capacity planning, and cloud cost optimization.

Responsibilities

  • 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

Skills

  • • 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
  • • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience
  • 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

Qualifications

Must Haves

  • • 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
  • • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience
  • 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

Benefits

  • Fully remote work across Europe
  • Work with cutting-edge AI and MLOps infrastructure
  • A highly collaborative, remote-first engineering culture with a strong focus on autonomy and ownership
  • Opportunities to contribute to open-source technologies and industry best practices
  • Opportunities to grow expertise across infrastructure, security, networking, platform engineering, and AI workloads

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