RF Systems Deployment Engineer (5G / AI-RAN)

DeepSig Inc; Arlington (VA); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Stock options

401(k) match

Bonuses

Commuter benefits

Education assistance

Parental leave

Paid time off

Job summary

DeepSig Inc. seeks an RF Systems Deployment Engineer to bridge AI-RAN products with customers, integrating them into field deployments and validating performance at testing sites.

You will work hands-on with RF hardware, SDRs, and the OCUDU stack, traveling to customer sites as deployments require. The role emphasizes lab-to-field deployment, troubleshooting, and collaboration within a small team.

Qualifications

• BS in Electrical/Computer Engineering, Computer Science, or related field, or equivalent hands-on experience.
• 4+ years deploying, integrating or supporting RF systems in real environments.
• Hands-on experience with SDRs (USRP, Epiq, or similar) and RF hardware.
• Comfortable with RF test equipment: spectrum analyzers, signal generators, power meters, etc.
• Knowledge of wireless fundamentals including OFDM, timing and RF impairments.
• Strong Linux skills: networking, drivers, and Python/shell scripting.
• Experience with containers (Docker/Kubernetes) to deploy software in the field.
• Willing to learn 5G NR and O-RAN deployment (gNB, O-RU, timing, fronthaul).
• Methodical troubleshooting across hardware, RF, timing, network and software layers.

Responsibilities

• Own customer and partner integrations of DeepSig software end to end: scoping deployment, configuring radios, timing, networking, and installation.
• Plan and execute site visits: surveys, BOMs, on-site bring-up, OTA validation, and test-event support.
• Bring up and troubleshoot deployed systems across RF front ends to software stack.
• Capture RF data in the field to validate performance and feed ML datasets.
• Reproduce field issues in the lab and hand defects to responsible teams.
• Write and maintain deployment procedures and runbooks for repeatable installs.
• Build lab test setups and interoperability tests with partner radios and test equipment.
• Serve as technical point of contact for customers during integration.
• Support product managers with demonstrations and customer feedback on deployability.

Skills

RF hardware

Linux

System integration

Troubleshooting

Strong communication

Travel readiness

Education

BS in Electrical/Computer Engineering or related

Tools

Docker

Kubernetes

GNU Radio

Job description

Description

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

Description

DeepSig 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 RF Systems 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 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

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 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

Bonus

• 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

In compliance with pay transparency requirements, the salary range for this role is $110,000-$170,000 annually. This range represents DeepSig's good-faith estimate of the compensation for the role at the time of posting. Actual compensation within this range may vary based on factors such as relevant experience, skills, education, job responsibilities, internal equity, and other job-related considerations.

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 a comprehensive benefits package, including health, dental and vision insurance, employee stock options, a 401(k) match, performance-based bonuses, commuter benefits, referral bonuses, education assistance, parental leave, paid time off, and holidays. At DeepSig, you'll have the opportunity to help transform and redefine signal processing through cutting-edge AI/ML technologies in a welcoming, inclusive, and collaborative environment that values flexibility and 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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