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4 дня назад

5G Telco Cloud and AI Software Engineer

63 600 - 118 800€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
5G Telco Cloud and AI Software Engineer (5G cloud, AI/ML): Building scalable cloud-native software platforms, distributed services, and Kubernetes applications for AI-enabled 5G Wireless Core environments with an accent on AI inference, model serving, and Intel processor and accelerator optimization. Focus on designing production AI/ML solutions, solving performance and scalability challenges, and demonstrating customer-focused telecommunications platforms.

Location: On-site in Leixlip, Ireland

Annual salary: €63,600–€118,800

Company

hirify.global develops processors, accelerators, and software platforms for computing, cloud, AI, and telecommunications applications.

What you will do

  • Design, develop, test, deploy, and optimize cloud-native software platforms for AI-powered solutions in 5G Wireless Core environments.
  • Develop distributed software services and Kubernetes-based applications integrating AI/ML, large language models, and cloud-native telecommunications platforms.
  • Build and optimize AI inference and model-serving solutions using technologies such as OpenVINO, vLLM, PyTorch, and TensorFlow.
  • Optimize software for hirify.global Xeon processors, accelerators, GPU, and heterogeneous computing platforms.
  • Translate customer and business requirements into software solutions and support workshops, proof-of-concepts, demonstrations, and deployments.
  • Contribute to software architecture, feature definition, technical roadmaps, and evaluation of emerging AI, cloud, and telecommunications technologies.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
  • 7+ years of software development experience, including distributed systems and cloud-native software development.
  • Strong programming experience in C and/or C++, and Python.
  • Production experience deploying, optimizing, and operationalizing AI/ML models, including AI inference, large language models, generative AI, and model-serving technologies.
  • Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, OpenVINO, vLLM, or equivalent technologies.
  • Experience designing cloud-native applications and microservices, using Kubernetes and container orchestration technologies.
  • Experience administering, deploying, and operating OpenShift Container Platform.
  • Strong understanding of Linux-based development environments, software design, debugging, performance optimization, and scalability engineering.
  • Experience with 5G Core network architecture, cloud-native telecommunications platforms, and direct collaboration with customers, field teams, Solution Architects, or Business Development teams.
  • Strong communication, collaboration, and stakeholder engagement skills.

Nice to have

  • Master’s degree in Computer Science, Electrical Engineering, Telecommunications, Artificial hirify.globalligence, or a related field.
  • Experience with 3GPP-defined 5G Core network functions and cloud-native network function architectures.
  • Familiarity with CI/CD pipelines, GitOps, Infrastructure-as-Code, service mesh, observability, and cloud-native operations.
  • Experience with telecommunications operators, cloud service providers, or network equipment vendors.
  • Experience supporting customer deployments, proof-of-concepts, technical demonstrations, and complex software architecture or technical direction.
  • Ability to work across engineering, product, sales, and customer-facing organizations.

Culture & Benefits

  • Full-time experienced-hire position with Shift 1 in Ireland.
  • On-site work model; posting details may be subject to change.
  • Compensation includes annual base salary within the stated range, with potential additional pay components and benefits.
  • Work involves collaboration across geographically distributed engineering teams and customer-facing organizations.

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