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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-RAN Deployment Engineer - **Company:** Deepsig Inc. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LTE (Telecommunication), C++ (Programming Language), Computer Engineering, System Configuration, Software Debugging, Linux, Hardware Design, Interoperability, Python (Programming Language), Machine Learning, Packet Analyzer, Radio-Frequency Identification, Software Engineering, Subsystems, Systems Integration, O-RAN, Scripting, Performance Testing, 5G NR, Kubernetes, Information Technology, Software Defined Radio, Docker - **Published:** October 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=04623a06b03afaf3 ## About the Role The role centers on 5G RAN deployment work and builds on a strong radio and SDR background. You should already be comfortable with RF hardware, software-defined radios and the signal-level debugging that comes with them. Prior RAN experience is helpful but not required; you will have a team of RAN and ML specialists behind you for the deep details. The day-to-day work is hands-on systems integration, troubleshooting, and optimization., * BS in Electrical/Computer Engineering, Computer Science, or related field, or equivalent hands-on experience * 4+ years deploying, integrating or supporting radio frequency machine learning, software-defined radio or other RF systems in real environments * Significant hands-on experience with software-defined radios (USRP, Epiq, or similar) and the RF hardware around them: antennas, cabling, filters, amplifiers, power and grounding * Comfortable with RF test equipment and measurement: spectrum analyzers, signal generators, power meters, basic link budget and interference analysis * Working knowledge of wireless systems fundamentals, including OFDM, time and frequency synchronization, and the practical effects of RF impairments on a deployed system * Strong Linux skills: networking, drivers, system configuration, log and packet capture; familiar with programming basics and able to read, run and adapt shell and Python scripts (a software engineering background is not required) * Experience with containers (Docker or Kubernetes) sufficient to deploy, configure and debug containerized software in the field * Willing and able to learn 5G NR and O-RAN deployment on the job: gNB and O-RU configuration, PTP timing, fronthaul, UE attach and basic performance validation * Methodical troubleshooting approach: able to isolate a problem across hardware, RF, timing, network and software layers and document what was found * Strong communication and teaming skills to work directly with customers and partners and collaborate productively in a small company environment * Able to travel to customer sites, test ranges and partner labs; travel varies with deployment schedules and can peak at 25 percent during installs and test events, * Prior experience deploying or operating 5G NR, LTE or O-RAN systems (srsRAN, OCUDU, OAI, or commercial gNBs), including PTP/SyncE timing chains and eCPRI fronthaul * Familiarity with GNU Radio or similar SDR frameworks and with IQ data capture and analysis workflows * Experience with NVIDIA GPU platforms in deployed systems: driver and container runtime setup, Kubernetes and Helm * Exposure to machine learning for RF (spectrum sensing, signal classification) and to collecting and labeling RF datasets * Field experience with CBRS, private 5G or tactical communications deployments, including spectrum coordination and site RF surveys * Experience with vendor O-RUs and radio hardware integration (Foxconn, WNC, Eridan or similar) * Python or C++ experience beyond scripting, for building test and automation tooling ## Description * Own customer and partner integrations of DeepSig software end to end: scoping the deployment, configuring radios, timing and networking, installing and configuring the OCUDU stack and dApps, and carrying the system through acceptance * Plan and execute site visits: pre-visit surveys and bills of material, on-site installation and bring-up, over-the-air validation, and on-site support during test events and demonstrations * Bring up and troubleshoot deployed systems across the whole chain, from antennas, cabling and RF front ends through SDR and O-RU hardware, timing and fronthaul, to the software stack and the dApps running on it * Capture and analyze RF data in the field (IQ recordings, spectrum sweeps, link measurements) to validate performance, debug issues and feed datasets back to the ML team * Reproduce field issues in the lab, isolate them to a subsystem and hand well-characterized defects to the owning software, RAN or ML engineer * Write and maintain deployment procedures, configuration baselines, site documentation and runbooks so that installs are repeatable and supportable by others * Build and maintain lab test setups and integration benches alongside the lab engineer, including interoperability testing with partner radios, UEs and test equipment * Act as a technical point of contact for customers and partners during integration, translating their requirements and constraints into clear asks for the engineering team * Support product managers and business development with demonstrations, trial deployments and customer feedback on deployability and operability