Mission Operations Engineer (RF/SIGINT Field Engineer)

DeepSig Inc•Arlington, VA

11d•$110,000 - $150,000•Hybrid

About The Position

DeepSig Inc. is a venture-backed, product-centric technology company building wireless processing software using machine learning to advance baseband processing, wireless sensing, and other wireless applications. The Mission Operations Engineer (MOE) supports deployment and operation of DeepSig’s RF sensing and AI/ML-powered signal-processing software for defense and national security customers. The role is suited to someone with practical experience in RF collection systems, Software Defined Radios (SDRs), and signal analysis who can work effectively in fast-paced, field-oriented environments. The position involves deploying and operating RF software and SDR-based systems at government or partner sites, developing RF machine-learning datasets and models, and collecting, analyzing, and interpreting signals with traditional tools and DeepSig platforms. The engineer also provides on-site technical support, training, and troubleshooting during field exercises, test and evaluation events, and mission operations. The role acts as a customer liaison, relaying industry trends and customer needs to product management, business development, and engineering teams, and contributes to agile team processes and customer feedback reporting. The position is based in Arlington, Virginia, with an on-site hybrid arrangement; remote work is available for highly qualified candidates. Travel of approximately 25% is required to support field operations, customer engagements, and deployments. Candidates must be U.S. citizens and eligible for a TS/SCI clearance.

Requirements

U.S. citizenship and eligibility for a TS/SCI security clearance.
At least 4 years of experience with RF signal collection, signal analysis, and SDR systems, whether open-source or proprietary.
Hands-on experience in tactical or field environments involving RF systems or EW/SIGINT/ELINT missions.
Strong communication and troubleshooting skills in field and technical settings.
Ability to support dynamic mission environments and work independently in the field.
Comfort with Linux command-line environments, including software installation, service management, basic networking, and troubleshooting.
Ability to deliver training and briefings to groups, from operator classes to customer leadership.
Willingness and ability to travel approximately 25% of the time.
Ability to lift up to 50 pounds.

Nice To Haves

Previous experience as an instructor or trainer.
Bachelor’s degree or equivalent military training and experience.
Familiarity with Python or C++.
Experience with Atlassian software, including Jira and Confluence.
Experience with AI/ML applications in defense, wireless communications, or cybersecurity.
Experience with tactical radios and waveforms, and ATAK and TAK integrations.
Completion of 451/452 training courses.
Previous experience in a Signals Analysis Lab (SAL) or agency-level Signals Development Center (SDC).

Responsibilities

Deploy and operate DeepSig RF software and SDR-based systems at government or partner sites.
Develop RF machine-learning datasets and models.
Collect, analyze, and interpret RF signals using traditional tools and DeepSig’s AI-driven platforms.
Provide on-site technical support, training, and troubleshooting during field exercises, test and evaluation events, and mission operations.
Interface with prospective and current customers and relay industry trends and customer needs to product management, business development, and engineering teams.
Work with agile processes such as Jira Scrum and/or Kanban and Confluence.
Complete customer feedback reports and After Action Reports (AARs), and brief teams in virtual and in-person meetings.
Maintain awareness of mission goals, security protocols, and user requirements in field and customer-site settings.