2

Entry Level Ran Optimization Engineer Jobs (NOW HIRING)

Responsibilities : • Develop an Open Radio Access Network O-RAN networking infrastructure in an O ... and Optimization • Python • Machine Learning / AI Preferred : • Experience with Open Radio ...

... of tools to ensure optimal and reliable service for Verizon Wireless customers, as well as ... and RAN Networks using traditional and innovative means. Investigates and resolves customer ...

Entry-Level Engineer Position We are looking for entry-level (fresher) engineers. As an entry-level ... Bachelor) 0+ year in C, C++, Full Stack experience with strong software development, optimization ...

... with Designers or Developers to optimize landing pages for optimum quality scores and create ... and ran actual paid search campaigns for an actual company Digital marketing background is ...

next page

Showing results 1-20

Entry Level Ran Optimization Engineer information

See salary details

$30K

$69.4K

$118K

How much do entry level ran optimization engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level ran optimization engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ran Optimization Engineer vs Network Optimization Technician?

AspectEntry Level Ran Optimization EngineerNetwork Optimization Technician
CredentialsBachelor's in Telecommunications, Electrical Engineering, or related fieldAssociate's or Bachelor's in Networking, Telecommunications, or related field
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network service providers, field and lab environments
Industry UsageCommonly used in mobile network planning and optimizationUsed in maintaining and troubleshooting network performance

Entry Level Ran Optimization Engineers focus on optimizing radio access network parameters to improve coverage and capacity, often working with LTE/5G networks. Network Optimization Technicians handle network performance issues, troubleshooting, and maintenance. While both roles require telecommunications knowledge, the Engineer role emphasizes planning and optimization, whereas Technicians focus on operational support and problem resolution.

More about Entry Level Ran Optimization Engineer jobs
What cities are hiring for Entry Level Ran Optimization Engineer jobs? Cities with the most Entry Level Ran Optimization Engineer job openings:
What are the most commonly searched types of Ran Optimization Engineer jobs? The most popular types of Ran Optimization Engineer jobs are:
What states have the most Entry Level Ran Optimization Engineer jobs? States with the most job openings for Entry Level Ran Optimization Engineer jobs include:
Infographic showing various Entry Level Ran Optimization Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 1% Part Time, 10% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Wireless O-RAN AI/ML Engineer (PhD is required)

Innovatix Technology Partners

Bedminster, NJ

Other

Posted 2 hours ago


Job description

We are seeking a talented and motivated Wireless Research Engineer with strong software and AI/ML capabilities to join our advanced networking team. Instead of traditional network deployment, this role sits at the cutting edge of Next-Gen cellular architecture: Open RAN (O-RAN).

In this role, you will apply your foundational knowledge of wireless communications to design, simulate, and develop intelligent solutions for Near-Real-Time (Near-RT) and Non-Real-Time (Non-RT) RAN Intelligent Controllers (RIC). You will leverage your coding skills in Python, alongside machine learning frameworks, to build the xApps and rApps that drive automation and optimize 5G network performance. This is the perfect launchpad for a telecom graduate eager to build software-driven, intelligent wireless infrastructure.

Key Responsibilities

  • Wireless Modeling & Simulation: Collaborate with senior engineers on system-level wireless simulations, network modeling, and cellular prototype testing.
  • App Development (xApps/rApps): Develop, test, and integrate intelligent xApps (Near-RT RIC) and rApps (Non-RT RIC) to control radio resources using Python.
  • RAN Optimization via AI/ML: Apply machine learning frameworks to solve telecom-specific challenges such as radio resource management (RRM), beamforming, traffic steering, and interference mitigation.
  • Telecom Data Analytics: Process and analyze large streams of live RAN telemetry and network KPI data using SQL database.
  • Standards Alignment: Study and implement O-RAN Alliance specifications to ensure prototype solutions align with evolving industry standards.

Required Skills & Qualifications

  • Education: PhD in Electrical Engineering, Telecommunications Engineering, or a closely related field with a heavy focus on wireless systems.
  • Wireless Deep Dive: A rock-solid foundational understanding of Wireless Communications, cellular network architecture (4G/5G), and radio frequency (RF) or protocol layer concepts.
  • O-RAN & RIC Exposure: Strong academic familiarity or project work involving O-RAN architecture, RIC platforms, and split-architecture concepts.
  • Programming & Software: High proficiency in Python, with the ability to write clean, structured code for network applications.
  • AI/ML Application: Hands-on experience (via academic research, capstone projects, or internships) applying ML libraries like TensorFlow or PyTorch to solve engineering or signal processing problems.
  • Data Basics: Familiarity with managing data via SQL and exposure to containerized environments (Docker/Kubernetes).