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How much do ran integration engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for ran integration engineer in the United States is $124,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a RAN Integration Engineer job?

A RAN Integration Engineer is responsible for deploying, testing, and optimizing Radio Access Network (RAN) components to ensure seamless connectivity and performance. They integrate hardware and software solutions from multiple vendors, troubleshoot issues, and support network rollout and upgrades. Their role involves collaborating with teams to configure and validate network elements, ensuring compliance with industry standards.

What are the key skills and qualifications needed to thrive in the Ran Integration Engineer position, and why are they important?

To thrive as a Ran Integration Engineer, you need strong knowledge of radio access networks (RAN), telecommunications protocols, and a relevant degree in engineering or a related field. Familiarity with tools like OSS, drive test equipment, network management systems, and certifications such as CCNA or Ericsson/Nokia RAN training are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These qualities allow you to efficiently integrate, optimize, and troubleshoot network components while collaborating with teams in a dynamic telecom environment.

What are common challenges faced by Ran Integration Engineers on the job?

Ran Integration Engineers often face challenges such as coordinating complex deployments within tight deadlines, troubleshooting integration issues across various vendor equipment, and ensuring minimal disruption to live networks during upgrades. Adapting to rapidly evolving technologies and staying updated with the latest standards is also a key part of the role. While these challenges require a proactive and detail-oriented approach, they provide opportunities to work on cutting-edge telecom solutions and gain valuable experience in the ever-evolving wireless industry. Collaboration with cross-functional teams and effective communication can help overcome these hurdles and ensure project success.
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Ran Integration Engineer jobs near you
Infographic showing various Ran Integration Engineer job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,275 per year, or $59.7 per hour.
Senior Wireless Machine Learning Engineer, AI-RAN

Senior Wireless Machine Learning Engineer, AI-RAN

DeepSig, Inc

Arlington, VA • On-site

$120K - $165K/yr

Full-time

Posted 19 days ago

Job description

Job Type
Full-time
Description
Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate)
DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced Technical Lead to architect and drive the development of our next-generation AI-native RAN.
In this role, you will design, prototype, and validate novel AI/ML components-such as neural receivers, neural beamforming, neural scheduling, digital twin, and ISAC (Integrated Sensing and Communications)-that outperform traditional signal processing methods. You will work at the cutting edge of 6G innovation, taking concepts from mathematical intuition to simulation (e.g. NVIDIA Sionna) and real-time implementation.
What You'll be Doing
  • Applied AI Research: Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
  • Simulation & Validation: Build high-fidelity link-level simulations using NVIDIA Sionna and ray-tracing to train, test, and benchmark AI models against legacy 5G baselines
  • Prototyping & Deployment: Transition research models into deployable "dApps" for the Distributed Unit (DU), optimizing inference for latency and compute efficiency on NVIDIA GPUs
  • New Capabilities: Explore emerging AI-RAN frontiers such as Integrated Sensing and Communications (ISAC), neural scheduling, and channel digital twins
  • Innovation & IPR: Drive technical innovation by authoring invention disclosures, filing patents, and generating technical reports to support our standardization team in 3GPP and O-RAN Alliance contributions
  • Data Engineering: Architect data pipelines for generating synthetic training datasets and developing "Sim-to-Real" transfer techniques to ensure robust performance in real-world networks

Required Qualifications
  • Education: Ph.D. or Master's in Computer Science, Electrical Engineering, or Applied Mathematics with a focus on Deep Learning and/or Communications Systems
  • AI/ML Expertise: 3+ years of experience designing and training deep neural networks from scratch. Strong grasp of modern architectures and optimization techniques
  • Applied Signal Processing: Experience applying machine learning to real-time time-series data, signal processing, or physics-based problems (Audio, RF, or similar domains)
  • Research to Code: Proven ability to read academic papers and implement their methods in robust Python code
  • Simulation Skills: Experience with differentiable simulation or digital twins (e.g., Sionna, JAX-based physics sims)

Preferred Qualifications
  • Wireless Knowledge: Understanding of wireless fundamentals (OFDM, MIMO, IQ data) is highly helpful, though we prioritize strong ML intuition over pure communication theory
  • Performance Optimization: Experience with model quantization (FP16/INT8), pruning, or using TensorRT for real-time inference
  • Standardization Support: Experience writing technical whitepapers or supporting patent filings in a research environment
  • C++ Integration: Ability to write C++ bindings or integrate Python models into C++, SIMD, and Cuda production pipelines

Working at DeepSig
DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.
DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.

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