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Permanent Ran Optimization Engineer Jobs in Woodbridge, VA

DeepSig Inc

DevOps Engineer

Arlington, VA · Hybrid

$60.75 - $83.25/hr

... RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to ... Optimization : Optimize the utilization of CI/CD and compute infrastructure in collaboration with ...

DeepSig, Inc

DevOps Engineer

Arlington, VA · On-site

$60.75 - $83.25/hr

... RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to ... Optimization : Optimize the utilization of CI/CD and compute infrastructure in collaboration with ...

DeepSig Inc Careers Page

DevOps Engineer

Arlington, VA · On-site

$60.75 - $83.25/hr

... RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to ... Optimization : Optimize the utilization of CI/CD and compute infrastructure in collaboration with ...

BizFirst

MLOps Engineer

Alexandria, VA · On-site

... cost optimization strategies for large-scale cloud-based ML training andinference. Degreein Computer Science, Software Engineering, or a related technical field. JobType: Full-time, Permanent ...

Sedaro

Senior Software Engineer, Back End

Arlington, VA · On-site

$141K - $185K/yr

Proliferating satellite constellations require optimization studies involving unprecedented scale ... Citizen or permanent resident status required Who We Are Our cloud-native simulation platform ...

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Permanent Ran Optimization Engineer information

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How much do permanent ran optimization engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for permanent ran optimization engineer in Woodbridge, VA is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $72.74 per hour, depending on experience, location, and employer.

What is a Permanent RAN Optimization Engineer?

A Permanent RAN Optimization Engineer is a telecommunications professional responsible for analyzing and improving the performance of Radio Access Networks (RAN) on a long-term, full-time basis. Their main duties include monitoring network performance, identifying issues, and implementing solutions to optimize signal quality, capacity, and coverage. They work with technologies such as 4G LTE and 5G, using specialized tools to ensure efficient data and voice transmission. These engineers collaborate with other technical teams to enhance user experience and support the rollout of new network features.

How does a Permanent RAN Optimization Engineer typically collaborate with network operations and planning teams?

As a Permanent RAN Optimization Engineer, you’ll regularly collaborate with network operations and planning teams to ensure optimal radio access network (RAN) performance. Your role often involves analyzing network KPIs, sharing insights on coverage or capacity issues, and coordinating technical solutions like parameter tuning or hardware upgrades. Effective communication and cross-functional teamwork are essential, as you'll work together to identify bottlenecks, implement enhancements, and monitor post-optimization results. This collaborative approach helps deliver a high-quality mobile experience for end users.

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

To thrive as a Permanent RAN Optimization Engineer, you need a solid background in telecommunications, RF engineering, and cellular network concepts, often supported by a degree in electrical engineering or a related field. Familiarity with network optimization tools (such as TEMS, Atoll, or Actix), drive test software, and relevant industry certifications (like CCNA or 5G certifications) is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualifications are crucial for ensuring optimal network performance, efficient troubleshooting, and collaboration across technical teams.

What is the difference between Permanent Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectPermanent Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsBachelor's in Telecommunications, Engineering, or related field; certifications like Nokia, Ericsson, or HuaweiBachelor's in Telecommunications, Electrical Engineering, or related; similar certifications
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network providers, field and office settings
Industry UsageCommonly employed in telecom industry for permanent network optimization rolesUsed interchangeably in telecom for network performance improvement roles

The Permanent Ran Optimization Engineer and Radio Network Optimization Engineer roles are highly similar, often overlapping in credentials, work environment, and industry usage. The main difference lies in terminology preference, with both focusing on optimizing radio access networks to improve coverage and performance. Both roles are essential in telecom network management and require comparable skills and certifications.

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Permanent Ran Optimization Engineer jobs near you
Infographic showing various Permanent Ran Optimization Engineer job openings in Woodbridge, VA as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,700 per year, or $59 per hour.

Senior Wireless Machine Learning Engineer, AI-RAN

Arlington, VA • On-site

DeepSig, Inc
11 - 50 employees
Learn more about DeepSig, Incexternal

$120K - $165K/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.

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