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Full Time Ericsson Ran Engineer Jobs (NOW HIRING)

Senior, Platform Engineer-P5G

Atlanta, GA · On-site

$130K - $155K/yr

Understanding of 5G NR, RAN architecture, mobile core, and Spectrum concepts * Experience with ... Nokia DAC, Ericsson Private 5G, Celona Private 5G, etc.) * Ability to trouble-shoot complex ...

Understanding of 5G NR, RAN architecture, mobile core, and Spectrum concepts * Experience with ... Nokia DAC, Ericsson Private 5G, Celona Private 5G, etc.) * Ability to trouble-shoot complex ...

Field Engineer (Installation Engineer - Optical Networks) Employment Type: Full-Time Location ... If you have 3+ years of experience installing and commissioning DWDM/RAN/IP equipment, and you're ...

Work with clients and vendors to ensure all installations comply with RF engineering specifications ... GC Academy Construction, Ericsson, Nokia * MEWP Certification This role is ideal for an experienced ...

Work with clients and vendors to ensure all installations comply with RF engineering specifications ... GC Academy Construction, Ericsson, Nokia * MEWP Certification This role is ideal for an experienced ...

Apcera is an Ericsson company. Ericsson is one of the leading providers of Information and ... This role is ideal for an ambitious Systems Engineer or Administrator who can take on the ...

DAS Construction Lead

Dallas, TX · On-site

$28 - $38/hr

Work with clients and vendors to ensure all installations comply with RF engineering specifications ... GC Academy Construction, Ericsson, Nokia * MEWP Certification This role is ideal for an experienced ...

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Full Time Ericsson Ran Engineer information

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$59.5K

$111.6K

$203K

How much do full time ericsson ran engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for full time ericsson ran engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Ericsson RAN Engineer, you need a solid background in telecommunications, radio access network (RAN) concepts, and relevant engineering degrees or certifications. Familiarity with Ericsson RAN equipment, OSS tools, network management systems, and protocols such as LTE/5G is essential. Strong problem-solving skills, effective communication, and the ability to work both independently and in teams set outstanding engineers apart. These skills and qualities are critical for ensuring network performance, troubleshooting complex issues, and supporting seamless mobile connectivity.

What are the typical daily responsibilities of a Full Time Ericsson RAN Engineer?

As a Full Time Ericsson RAN Engineer, your daily responsibilities typically include monitoring and optimizing Radio Access Network (RAN) performance, troubleshooting network issues, and implementing software upgrades or configuration changes. You’ll also work closely with field teams, network planners, and other engineers to ensure optimal network coverage and quality. Regularly analyzing network data and providing reports or recommendations for improvement are key parts of the role. Collaboration and communication skills are essential, as you'll often coordinate with cross-functional teams to resolve complex technical challenges and support network expansion projects.

What does a Full Time Ericsson RAN Engineer do?

A Full Time Ericsson RAN (Radio Access Network) Engineer is responsible for designing, deploying, optimizing, and maintaining Ericsson's wireless network infrastructure. Their work involves configuring network equipment, troubleshooting connectivity issues, and ensuring optimal network performance and coverage. They collaborate with other engineers and field technicians to implement new technologies and upgrades, monitor network health, and support network expansion projects. RAN Engineers play a critical role in ensuring reliable mobile communication services for end users.

What is the difference between Full Time Ericsson Ran Engineer vs Ericsson Radio Access Network (RAN) Technician?

AspectFull Time Ericsson Ran EngineerEricsson Radio Access Network (RAN) Technician
CredentialsEngineering degree, certifications in LTE/5G, Ericsson-specific trainingTechnical diploma or associate degree, RAN-specific certifications
Work EnvironmentDesign, deployment, and optimization of RAN networks, often in office or fieldField maintenance, troubleshooting, and installation of RAN equipment
Employer & IndustryTelecom operators, network service providers, Ericsson

Full Time Ericsson RAN Engineers focus on designing, deploying, and optimizing RAN networks, requiring advanced engineering skills and certifications. RAN Technicians primarily handle field installation and maintenance tasks. Both roles are essential in telecom infrastructure but differ in scope and responsibilities.

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Infographic showing various Full Time Ericsson Ran Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Senior Wireless Machine Learning Engineer, AI-RAN

Senior Wireless Machine Learning Engineer, AI-RAN

DeepSig, Inc

Arlington, VA • On-site

$120.30K - $165.10K/yr

Full-time

Posted 16 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.