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Ran Optimization Jobs (NOW HIRING)

Prolim Global

RF Optimization Engineer

Plano, TX · On-site

The ideal candidate will have strong experience in RF optimization, KPI analysis, drive testing, network troubleshooting, and performance improvement of LTE and 5G RAN environments. The successful ...

Parallel Wireless

Senior RF Optimization Engineer

Support RAN modernization, swap, and transformation projects across planning, integration, optimization, and acceptance phases. * Conduct troubleshooting using network statistics, drive test data ...

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Ran Optimization information

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$40

$59

$81

How much do ran optimization jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for ran optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Ran Optimization vs Network Optimization?

AspectRan OptimizationNetwork Optimization
FocusOptimizing radio access network parameters for better coverage and performanceImproving overall network efficiency, including core and access networks
CredentialsTelecom engineering certifications, LTE/5G knowledgeTelecom engineering certifications, network architecture expertise
Work EnvironmentCell sites, radio network equipment, field and lab settingsNetwork operations centers, data analysis, planning offices
Industry UsageMobile carriers, telecom service providersMobile carriers, telecom infrastructure companies

While both roles involve optimizing network performance, Ran Optimization specifically targets radio access network parameters to enhance coverage and user experience. Network Optimization has a broader scope, focusing on overall network efficiency, including both radio and core network components. Professionals often work together but specialize in different areas of telecom network performance improvement.

What is RAN Optimization?

RAN Optimization refers to the process of improving the performance and efficiency of a Radio Access Network (RAN), which is a crucial part of mobile communication systems. It involves analyzing network data, identifying issues such as coverage gaps, dropped calls, or slow data speeds, and implementing solutions to enhance user experience and network capacity. RAN Optimizers use specialized tools to monitor network performance, adjust configurations, and recommend upgrades. This role is essential for maintaining high-quality wireless services as network demands grow and technologies evolve.

What are some of the most common challenges faced by professionals in RAN Optimization, and how can they be addressed?

One of the most common challenges in RAN Optimization is balancing network performance with resource constraints, as optimizers must enhance coverage and capacity without causing interference. Additionally, adapting to rapid technological changes, such as 5G rollouts, requires continuous learning and flexibility. Effective collaboration with cross-functional teams, including RF engineers and network planners, is essential to implement optimization strategies that align with overall business goals. Staying updated on the latest tools and best practices, as well as proactively analyzing network data, can help professionals address these challenges successfully.

What are the key skills and qualifications needed to thrive as a RAN Optimization Engineer, and why are they important?

To thrive as a RAN Optimization Engineer, you need strong knowledge of radio access network (RAN) technologies, cellular communications, and typically a degree in telecommunications or electrical engineering. Proficiency in tools such as TEMS, Actix, and network management systems, as well as relevant certifications like CCNA or 5G-related credentials, is often required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying network issues and collaborating with cross-functional teams. These skills ensure optimal network performance, efficient troubleshooting, and high-quality service for mobile network users.
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Ran Optimization jobs near you
Infographic showing various Ran Optimization job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Wireless Research Engineer(O-RAN/6G/AI-ML)

Innovatix Technology Partners

Bedminster, NJ • On-site

$100K - $128K/yr

Other

Posted 9 days ago

Job description

We are seeking a Wireless Research Engineer to join an advanced research and development team focused on the future of intelligent wireless communication systems. This role is ideal for candidates passionate about applying Artificial Intelligence and Machine Learning (AI/ML) to 5G, 6G, and Open RAN (O-RAN) technologies, enabling AI-native network automation, intelligent Radio Access Networks (RAN), and next-generation wireless innovation.

This opportunity is open to recent Ph.D. graduates with strong research experience as well as engineers with industry experience in wireless communications, AI/ML, or telecommunications R&D. You will collaborate with multidisciplinary teams to develop innovative AI-driven wireless technologies, prototype next-generation solutions, contribute to standards-based research, and help shape the future of intelligent mobile networks.

Key Responsibilities
  • Research, design, develop, and optimize AI/ML algorithms for next-generation wireless communication systems, including 5G, 6G, and Open RAN (O-RAN) architectures.
  • Design and develop intelligent xApps and rApps for O-RAN RIC (RAN Intelligent Controller) platforms to enable AI-driven network optimization and automation.
  • Develop AI-powered solutions for:
    • Beam Management
    • Channel Estimation
    • CSI Prediction
    • Radio Resource Management (RRM)
    • Mobility Optimization
    • AI-native Network Automation
  • Build, train, validate, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related AI frameworks.
  • Analyze large-scale telecom datasets to improve network performance, scalability, efficiency, and reliability.
  • Design simulations and proof-of-concept prototypes for advanced wireless algorithms and AI-native networking solutions.
  • Develop solutions aligned with 3GPP and O-RAN Alliance standards and specifications.
  • Evaluate wireless algorithms using simulation environments and experimental datasets.
  • Collaborate with researchers, software engineers, wireless architects, and cross-functional R&D teams on next-generation networking initiatives.
  • Contribute to research publications, invention disclosures, patent development, and technical innovations.
  • Document research findings and present technical results to engineering and research stakeholders.
  • Stay current with emerging technologies in AI, wireless communications, Open RAN, and next-generation networking.
Required Qualifications
  • Ph.D. or Master''s degree in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, Wireless Communications, or a related technical field.
  • Recent Ph.D. graduates are encouraged to apply. Relevant doctoral research in wireless communications, AI/ML, signal processing, networking, or related areas will be considered equivalent to industry experience.
  • Strong understanding of 5G, 6G, Open RAN (O-RAN), and modern wireless communication systems.
  • Hands-on experience developing AI/ML models for wireless communication, networking, or telecommunications applications.
  • Programming experience in:
    • Python
    • SQL
  • Experience using AI/ML frameworks such as:
    • PyTorch
    • TensorFlow
  • Knowledge of:
    • O-RAN RIC
    • xApps
    • rApps
    • AI-driven RAN optimization
    • Beam Management
    • Channel Estimation
    • CSI Prediction
    • Radio Resource Management
  • Understanding of 3GPP and O-RAN standards.
  • Experience working with large telecom datasets, system simulations, and wireless algorithm evaluation.
  • Strong analytical, research, and problem-solving skills.
  • Excellent written and verbal communication skills with the ability to collaborate across multidisciplinary teams.

Apply