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5G Network Optimization Engineer Jobs (NOW HIRING)

5G Network Engineer

Bedminster, NJ ยท On-site

$50 - $55/hr

Conduct performance analysis and optimization for applications and network components. * Drive ... Engineering, Telecommunications, or related fields (2025/2026). * Experience with 5G architectures ...

About The Role We are looking for an experienced Senior RF Optimization Engineer to join our LATAM ... Strong hands-on experience in GSM, LTE, and 5G network optimization, including VoLTE optimization.

We are seeking an experienced RF Optimization Engineer to support LTE and 5G network performance optimization activities. The ideal candidate will have strong experience in RF optimization, KPI ...

5G Network Performance Engineer Apply now Job no: 17673 Work type: Full Time Location: Austin ... Providing guidance for optimizing networking software running on ARM systems * Contributing to ...

Sr. Network Engineer

Baltimore, MD ยท On-site

$103K - $141K/yr

Looking for a Sr. Network Optimization engineer Senior level network engineer - focus on optimization End to End Cisco products, routing and switching - large enterprise Position will have firewall ...

Integration Engineer

Plano, TX ยท On-site

$99K - $134K/yr

Support software upgrades, patches, and network optimization activities. Required Skills * Strong ... LTE/4G/5G network knowledge. * Nokia NetAct, AirScale, SR OS, or telecom OSS tools. * Experience ...

Integration Engineer

Plano, TX ยท On-site

$99K - $134K/yr

Support software upgrades, patches, and network optimization activities. Required Skills * Strong ... LTE/4G/5G network knowledge. * Nokia NetAct, AirScale, SR OS, or telecom OSS tools. * Experience ...

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5g Network Optimization Engineer information

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$31K

$109K

$158K

How much do 5g network optimization engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for 5g network optimization engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between 5G Network Optimization Engineer vs Radio Frequency (RF) Engineer?

Aspect5G Network Optimization EngineerRadio Frequency (RF) Engineer
Primary FocusOptimizing 5G network performance, coverage, and capacityDesigning, testing, and analyzing RF systems and components
Required SkillsNetwork protocols, optimization tools, wireless standardsRF design, testing, signal analysis, spectrum management
Work EnvironmentTelecom companies, network providers, field testingR&D labs, field testing, equipment manufacturing
CertificationsWireless certifications, Cisco, Nokia, Ericsson trainingRF engineering certifications, FCC licenses

While both roles involve wireless technology, the 5G Network Optimization Engineer focuses on enhancing 5G network performance and coverage, whereas the RF Engineer specializes in RF system design and testing. The optimization engineer works more with network performance metrics, while the RF engineer concentrates on RF hardware and signal integrity.

What are popular job titles related to 5G Network Optimization Engineer jobs?

For 5G Network Optimization Engineer jobs, the most frequently searched job titles are:

Infographic showing various 5G Network Optimization Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

5G Network Engineer

Bedminster, NJ โ€ข On-site

GDH
IT Servicesย โ€ขย 201 - 500 employees

$50 - $55/hr

Other

Posted 8 days ago


Job description

Role Summary
This senior-level role focuses on 5G network engineering, application modernization, and artificial intelligence/machine learning integration within telecommunications infrastructure. The position involves transforming legacy applications into scalable, cloud-native platforms and leveraging AI/ML models to optimize network performance. It requires collaboration with network engineering and IT teams to drive automation, efficiency, and innovative solutions supporting next-generation services.

  • In compliance with federal law, all persons hired must verify their identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire. Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Responsibilities

  • Modernize and re-architect legacy telecom applications into scalable, cloud-native, Java-based platforms.
  • 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, Transport, and Edge.
  • Partner with network engineering and IT teams to develop and deploy intelligent automation and AIOps solutions.
  • Develop high-performance Java applications supporting real-time telecom workloads.
  • Analyze large-scale network data to provide actionable insights, reduce latency, and optimize costs.
  • Support innovation initiatives, proof-of-concept projects, and pilots associated with 5G monetization and operational excellence.
  • Collaborate on the deployment of network automation, orchestration, and observability platforms.
  • Conduct performance analysis and optimization for applications and network components.
  • Drive measurable improvements in network latency, operational costs, application resiliency, and automation levels.

Qualifications

  • Recent PhD or Masterโ€™s graduates in Computer Science, Electrical Engineering, Telecommunications, or related fields (2025/2026).
  • Experience with 5G architectures, including RAN, Core, Edge, and open RAN exposure is a plus.
  • Development background in Java and familiarity with modern application frameworks.
  • Hands-on experience with AI/ML frameworks such as TensorFlow or PyTorch.
  • Proven expertise in application transformation and performance optimization.
  • Strong understanding of telecom service provider environments.
  • Experience working with cloud platforms, CI/CD pipelines, Python, and related technologies.
  • Knowledge of network automation, orchestration, and observability platforms is preferred.
  • Familiarity with Kubernetes, microservices, and hybrid cloud architectures is advantageous.
  • Ability to deliver measurable improvements in network performance and operational efficiency.

Publishing Pay Range: $50.00 - $55.00 Hourly
This position is based in office and requires employee to work on-site.