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Intel

5G Telco Cloud and AI Software Engineer

Intel is hiring a 5G Telco Cloud and AI Software Engineer. It pays €119k a year and Level rates it ; you can apply on Intel.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include vLLM, PyTorch and TensorFlow.
  • Level classifies it as a senior role.
  • Level lists 863 other open roles at Intel.
  • The role was posted in the last few days.

AI in this role

vLLMPyTorchTensorFlow
Job Details:

Job Description:

The Cloud Software Development Engineer will contribute to the design, development, and delivery of cloud-native, AI-enabled software platforms for the 5G Wireless Core engineering organization. This role works closely with Solution Architects, Business Development Engineers, customers, and ecosystem partners to develop innovative software solutions optimized for Intel Xeon processors, accelerators, and AI execution environments.
The successful candidate will develop scalable software solutions and cloud-native platforms that enable next-generation AI capabilities within 5G Core environments. The role requires strong software engineering skills, experience with AI/ML technologies, and the ability to engage directly with customers to understand requirements, demonstrate solutions, resolve technical challenges, and support successful deployments.

Qualifications:

Key Responsibilities
• Design, develop, test, and deploy cloud-native software platforms that enable customers to integrate, deploy, and operationalize AI-powered solutions within 5G Wireless Core environments.
• Develop scalable distributed software services and Kubernetes-based applications that combine AI/ML technologies, large language models, and cloud-native telecommunications platforms to deliver innovative customer-focused solutions.
• Collaborate with Solution Architects, Business Development Engineers, customers, and ecosystem partners to translate business and technical requirements into software solutions.
• Work closely with sales, business development, and technical customer-facing teams to understand customer challenges and develop solutions that accelerate adoption of Intel technologies.
• Support customer engagements, technical workshops, proof-of-concepts, and solution demonstrations showcasing Intel-powered platforms and AI capabilities.
• Enable, deploy, and optimize AI/ML workloads in cloud-native environments.
• Develop and optimize AI inference and model-serving solutions utilizing technologies such as OpenVINO, vLLM, PyTorch, and TensorFlow.
• Optimize software solutions for Intel Xeon processors and accelerator technologies.
• Contribute to software architecture, feature definition, and technical roadmaps.
• Evaluate emerging AI, cloud, and telecommunications technologies and contribute to proof-of-concept and production deployments.
• Collaborate across geographically distributed engineering teams to deliver high-quality software and customer-focused solutions.
• Participate in technical discussions with customers and ecosystem partners to identify opportunities for innovation and solution optimization.

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• 7+ years of software development experience with experience in distributed systems and cloud-native software development.
• Strong programming experience in C and/or C++ and python
• Experience deploying, optimizing, and operationalizing AI/ML models in production environments.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, OpenVINO, vLLM, or equivalent technologies.
• Experience with AI inferencing, large language models (LLMs), generative AI, and model-serving technologies.
• Experience with GPU, accelerator, and heterogeneous computing platforms.
• Experience designing and developing cloud-native applications and microservices architectures.
• Hands-on experience with Kubernetes and container orchestration technologies.
• Experience with OpenShift Container Platform (OCP) administration, deployment, and operations.
• Strong understanding of Linux-based development environments.
• Experience with 5G Core network architecture and cloud-native telecommunications platforms.
• Experience with software design, performance optimization, debugging, and scalability engineering.
• Experience working directly with customers, field teams, Solution Architects, or Business Development teams to troubleshoot, optimize, and demonstrate software solutions.
• Strong communication, collaboration, and stakeholder engagement skills.

Preferred Qualifications
Master's degree in Computer Science, Electrical Engineering, Telecommunications, Artificial Intelligence, or a related field.
Experience with 3GPP-defined 5G Core network functions and cloud-native network function (CNF) architectures.
Familiarity with CI/CD pipelines, GitOps methodologies, and Infrastructure-as-Code tools.
Experience working with telecommunications operators, cloud service providers, or network equipment vendors.
Knowledge of service mesh technologies, observability platforms, and cloud-native operations.
Experience supporting customer deployments, proof-of-concepts, and technical solution demonstrations.
Experience contributing to software architecture and technical direction for complex engineering projects.
Demonstrated ability to work effectively across engineering, product, sales, and customer-facing organizations.

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location:

Ireland, Leixlip

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

Annual Salary Range for this job which could be performed in Ireland is: ‏63,600.00 € - €118,800.00 The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

How we rate this

5G Telco Cloud and AI Software Engineer at Intel rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

vLLMPyTorchTensorFlow

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs

Questions you could be asked

  1. What's a project where you used vLLM hands-on?
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of TensorFlow that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: vLLM, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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