AI-RAN Deployment Engineer

Description

Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA, with travel to customer and test sites as deployments require

Description

Deep Sig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications.

We are seeking an AI-RAN Deployment Engineer to be the hands‑on engineer between our AI-RAN products and the customers, partners and test sites that deploy them. This person will take those products out of the lab: integrating them into customer environments, standing them up at field sites, running them through test events and demonstrations, and bringing what they learn back to the engineering team.

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.

What You'll Be Doing

• Own customer and partner integrations of Deep Sig 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

Requirements

• 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…