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5G Ai Jobs (NOW HIRING)

Harvey Nash

Legal 5 (Bilingual in Korean)

Plano, TX · On-site

$36K - $47K/yr

Legal analysis, research, issue spotting on key issues * Tech background would be a plus, a self-starter who is efficient and motivated to work and learn about upcoming 5G, AI, and interest in ...

GDH

5G Network Engineer

Bedminster, NJ · On-site

$50 - $55/hr

Apply AI/ML models to enhance 5G network performance, capacity planning, and fault management. * Identify and implement efficiency improvements across the entire 5G ecosystem, including RAN, Core ...

Cartesian

Management Consulting - Principal

Boston, MA · On-site +1

$150K - $175K/yr

Experience with telecom-specific technologies (e.g., OSS/BSS, 5G, AI/ML, cloud platforms) * Familiarity with 5G, fiber deployment, or telecom regulatory frameworks * Experience with margin-based ...

Protingent

5G IOT/Lab Test Engineer

KS · On-site

$60 - $65/hr

Job Title : 5G IOT/Lab Test Engineer Position Description : Protingent Staffing has an exciting ... AI, Clean Tech, Medical Devices, and Connected Technologies . We're passionate about making a ...

vivo LATAM

Tax Accountant (San Diego)

San Diego, CA · On-site

These R&D centers focus on the development of cutting-edge consumer technologies including 5G, AI, mobile photography and next-generation smartphone design. Vivo has also set up five production bases ...

Parallel Wireless

Engineer I, RT 5G Stack

Boston, MA · On-site +1

Perform technical analysis and review of technical concepts related to 5G software design ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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5g Ai information

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How much do 5g ai jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for 5g ai in the United States is $16.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $17.31 per hour, depending on experience, location, and employer.

What is a 5G AI specialist?

A 5G AI specialist is a professional who integrates artificial intelligence (AI) technologies with 5G wireless networks to enhance network performance, automate operations, and enable smart applications. Their work involves developing intelligent algorithms for network optimization, predictive maintenance, and real-time data analytics. 5G AI specialists play a key role in advancing smart cities, autonomous vehicles, IoT devices, and other emerging technologies that rely on high-speed, low-latency connectivity.

How does a 5G AI professional typically collaborate with interdisciplinary teams to deliver solutions?

In a 5G AI role, professionals often work closely with network engineers, data scientists, software developers, and product managers to design and implement intelligent solutions that optimize 5G networks. Collaboration is key, as AI experts need to understand network requirements, data sources, and user needs to create effective models and algorithms. Regular meetings and agile project management practices are common, ensuring alignment on objectives and smooth integration of AI capabilities into network infrastructure. This collaborative environment fosters innovation and helps professionals broaden their technical and communication skills.

What are the key skills and qualifications needed to thrive as a 5G AI engineer, and why are they important?

To thrive as a 5G AI Engineer, you need a solid background in wireless communication, machine learning, and programming, often with a degree in computer science, electrical engineering, or a related field. Familiarity with 5G protocols, AI frameworks (such as TensorFlow or PyTorch), and experience using simulation tools or cloud platforms is typically expected. Strong analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills are crucial for developing innovative AI-driven solutions that optimize 5G networks and meet the demands of next-generation connectivity.

What is the difference between 5G Ai vs 5G Network Engineer?

Aspect5G Ai5G Network Engineer
Required CredentialsBachelor's in Computer Science, certifications in AI/ML and networkingBachelor's in Telecommunications, networking certifications (e.g., Cisco, CompTIA)
Work EnvironmentResearch labs, tech companies, AI development teamsTelecom companies, network infrastructure sites, service providers
Industry UsageDevelops AI algorithms for 5G applications, network optimizationDesigns, implements, maintains 5G network infrastructure

While both roles focus on 5G technology, 5G Ai specializes in developing AI solutions for 5G networks, whereas 5G Network Engineers focus on building and maintaining the physical and software infrastructure of 5G networks.

What other helpful pages are available for 5G Ai?

Other pages related to 5G Ai:

Infographic showing various 5G Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $34,527 per year, or $16.6 per hour.

5G AI/ML & Application Modernization

Bedminster, NJ • On-site

Simple Solutions
See more jobs at Simple Solutionsexternal

$70 - $90/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Modernize and re-architect legacy telecom applications into scalable, cloud-native, Java-based platforms.

  • Apply AI/ML models to optimize 5G network performance, capacity planning, and fault management.

  • Partner with network engineering and IT teams to implement intelligent automation and AIOps solutions.

Job description

5G AI/ML & Application Modernization

Position Overview:

senior-level 5G network engineering, AI/ML, and application modernization. This role will focus on transforming legacy applications, driving automation, and unlocking efficiencies across the company’s 5G network infrastructure to support next-generation services and scale.

Key Responsibilities

·                modernization and re-architecture of legacy telecom applications into scalable, cloud-native, Java-based platforms

  • Apply AI/ML models to optimize 5G network performance, capacity planning, and fault management
  • Identify and drive efficiency gains across the 5G ecosystem (RAN, Core, Transport, Edge)
  • Partner with network engineering and IT teams to implement intelligent automation and AIOps solutions
  • Develop high-performance Java applications supporting real-time telecom workloads
  • Analyze large-scale network data to deliver actionable insights, cost optimization, and latency reduction
  • Support innovation initiatives, POCs, and pilots tied to 5G monetization and operational excellence

Required Qualifications

Please focus on 2025/2026 PhD Graduates

·                Masters Computer Science, Electrical Engineering, Telecommunications, or related discipline

  • SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java,
  • Experience in 5G architectures (RAN, Core, Edge, Open RAN exposure a plus)
  • Development background in Java and modern application frameworks
  • Hands-on experience with AI/ML technologies (TensorFlow, PyTorch, or equivalent)
  • Proven experience in application transformation and performance optimization
  • Experience working with SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java
  • Background in telecom service provider environments

Preferred Qualifications

·                Experience with network automation, orchestration, and observability platforms

  • Familiarity with Kubernetes, microservices, and hybrid cloud architectures
  • Exposure to AIOps, network analytics, and predictive maintenance models

Success Metrics

·                Measurable reductions in network latency and operational costs

  • Improved application performance, resiliency, and scalability
  • Increased automation across network operations and service delivery
  • Delivery of AI-driven insights that improve network efficiency and customer experience

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!



BenefitsLOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW
JOB INFORMATION
Job Title: Engineer – 5G AI/ML & Application Modernization
Client: WWT
Location: Bedminster, NJ
Remote, Hybrid, or Onsite: Onsite — Daily
Employment Type: Not stated
Account Manager: Not stated
Date Created: August 10, 2026
Locked Requirement List Version: 1.0

The position is explicitly described as an onsite role in Bedminster, NJ with an initial six-month duration and opportunity for extension.

ELIGIBILITY REQUIREMENTS
ID
Eligibility Requirement
Required/Preferred
Source
E1
Must work onsite daily in Bedminster, NJ
Required
Job Description
E2
Initial 6-month assignment
Required
Job Description
E3
Master's degree in Computer Science, Electrical Engineering, Telecommunications, or related discipline
Required
Job Description
E4
2025/2026 PhD graduate profile
Preferred
Job Description

Eligibility clarification: The JD says, “Please focus on 2025/2026 PhD Graduates,” but does not state that a PhD is mandatory. Therefore, the PhD profile is classified as Preferred, while the Master's degree requirement is classified as Required.

Not stated in the Job Description: Visa/work authorization, relocation policy, travel requirement, employment classification, rate/compensation restriction, or required certifications.

MUST-HAVES — 80% OF TOTAL CANDIDATE SCORE
ID
Locked Must-Have Requirement
Evidence from Job Description
M1
5G Architecture Experience — RAN, Core, and Edge
Requires experience with 5G architectures and identifies RAN, Core, and Edge; the role focuses on efficiencies across the 5G ecosystem.
M2
Java Application Development & Modern Frameworks
Requires a development background in Java and modern application frameworks; responsibilities include developing high-performance Java applications for real-time telecom workloads.
M3
Hands-On AI/ML Technology Experience
Requires hands-on AI/ML experience using TensorFlow, PyTorch, or equivalent technologies and applying AI/ML models to 5G network optimization.
M4
Application Transformation & Performance Optimization
Requires proven experience in application transformation and performance optimization; the role modernizes and re-architects legacy telecom applications.
M5
Telecom Standards / Interfaces — SMI, ORAN, and 3GPP
Required qualifications specifically identify SMI, ORAN, and 3GPP experience.
M6
Cloud, CI/CD, and Python Engineering Experience
Required qualifications specifically identify Cloud, CI/CD, and Python and repeat these technologies as required experience.

The JD expressly requires 5G architecture, Java development, hands-on AI/ML, application transformation/performance optimization, and experience with the listed telecom and engineering technologies.

Scoring note for M1: Evidence showing experience in a telecom service-provider environment should strengthen the candidate's evidence for M1 because the JD separately requires that background.

NICE-TO-HAVES — 20% OF TOTAL CANDIDATE SCORE
ID
Locked Nice-to-Have Requirement
Evidence from Job Description
N1
Open RAN Exposure
The 5G architecture requirement specifically states that Open RAN exposure is a plus.
N2
Network Automation, Orchestration & Observability Platforms
Explicitly listed under Preferred Qualifications.
N3
Kubernetes & Microservices
Kubernetes and microservices familiarity is explicitly listed under Preferred Qualifications.
N4
Hybrid Cloud Architecture Familiarity
Hybrid cloud architecture familiarity is explicitly listed under Preferred Qualifications.
N5
AIOps / Network Analytics / Predictive Maintenance Exposure
Explicitly listed under Preferred Qualifications.
N6
Not clearly stated in the Job Description.
No additional distinct preferred qualification is clearly stated without duplicating a MUST-HAVE or inventing a requirement.

The preferred section specifically identifies network automation/orchestration/observability, Kubernetes, microservices, hybrid cloud, and AIOps/network analytics/predictive maintenance.

FINAL CHECK
  1. Exactly 6 MUST-HAVES: ✅ Confirmed
  2. Exactly 6 NICE-TO-HAVE positions: ✅ Confirmed
  3. No requirement appears in both categories: ✅ Confirmed
  4. Eligibility requirements are separate from scored qualifications: ✅ Confirmed
  5. Every scored requirement is supported by the Job Description: ✅ Confirmed
  6. No qualifications were invented: ✅ Confirmed
One item for Account Manager review

The biggest point worth confirming with the client is the 2025/2026 PhD graduate language. The JD simultaneously says to “focus on” recent PhD graduates while listing a Master's degree under Required Qualifications. I have therefore locked Master's = Required and 2025/2026 PhD = Preferred rather than treating the PhD as a disqualifying eligibility gate.

LOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW