Field AI-RAN Deployment Engineer (5G + RF/ML)

DeepSig Inc; Arlington (VA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

DeepSig Inc. is seeking an AI-RAN Deployment Engineer to bridge AI-RAN products with customers, partners and field sites. You will deploy, stand up, and validate systems across RF front ends, SDR hardware, and the software stack, collaborating with ML and RAN teams.

The role emphasizes hands-on integrations, site deployments, and field troubleshooting, with travel to customer sites as deployments require.

Qualifications

• BS in Electrical/Computer Engineering, Computer Science, or related field, or equivalent hands‑on experience.
• 4+ years deploying, integrating or supporting RF ML, SDR or RF systems in real environments.
• Strong familiarity with RF hardware: antennas, cabling, etc.
• Experience with RF test equipment: spectrum analyzers, signal generators.
• Working knowledge of wireless fundamentals including OFDM and synchronization.
• Strong Linux skills and ability to read/run shell and Python scripts.
• Experience with containers (Docker/Kubernetes) for field deployment.
• Willingness to learn 5G NR and O-RAN deployment on the job.
• Methodical troubleshooting across hardware, RF, timing, network and software.

Responsibilities

• 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-air validation, and on-site support during test events and demonstrations
• Bring up and troubleshoot deployed systems across the whole chain, from antennas and RF front ends through SDR and O-RU hardware to the software stack
• Capture and analyze RF data in the field (IQ recordings, spectrum sweeps, link measurements) to validate performance and feed datasets back to ML team
• Reproduce field issues in the lab, isolate them to a subsystem and hand defects to the owning software/ RAN/ ML engineer
• Write and maintain deployment procedures, configuration baselines, site documentation and runbooks
• Build and maintain lab test setups and integration benches with partner radios and test equipment
• Act as a technical point of contact for customers and partners during integration
• Support product managers and BD with demonstrations and deployability feedback

Skills

RF deployment

Linux expertise

Python scripting

Docker

Kubernetes

RF test equipment

Field troubleshooting

Communication

Travel readiness

Education

Bachelor's in Electrical/Computer Engineering

Tools

USRP hardware

Epiq SDR

GNU Radio

NVIDIA GPU tooling

Job description

DeepSig Inc. is seeking an AI-RAN Deployment Engineer to bridge AI-RAN products with customers, partners and field sites. You will deploy, stand up, and validate systems across RF front ends, SDR hardware, and the software stack, collaborating with ML and RAN teams.

The role emphasizes hands-on integrations, site deployments, and field troubleshooting, with travel to customer sites as deployments require.