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HawkEye 360

Satellite-based RF geospatial analytics provider

Principal ELINT Processing Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeHerndon, VA, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Physics, or a related technical field, or equivalent experience.
  • At least 12 years of progressive experience in ELINT technical analysis, with expertise in complex signal-processing environments.
  • Expert proficiency with ELINT ground-processing systems that generate geolocations from raw IQ data or similar RF collection systems.
  • Expertise with signals-analysis tool suites such as Sceptre, MARTES, ASPEN, or CBET.
  • Software integration and test experience, including hands-on work with complex data-processing pipelines.
  • Ability to identify, debug, and resolve technical issues in signal-processing software and geolocation algorithms.
  • Understanding of CI/CD practices and experience integrating testing into continuous-deployment pipelines.
  • Analytical and problem-solving skills to troubleshoot technical issues across hardware and software domains.
  • Written and verbal communication skills to present technical concepts to diverse audiences.
  • Completion of SIGE2810/3810/4810 and advanced SIGINT training courses.

Responsibilities

  • Serve as the principal technical authority on ELINT processing systems, providing strategic direction for system architecture, algorithm development, and capability enhancements.
  • Lead cross-functional efforts to optimize ELINT geolocation accuracy, precision, and operational performance across signal types and operational scenarios.
  • Drive the technical roadmap for ELINT ground-processing capabilities, identifying system deficiencies and architecting solutions.
  • Lead integration of ELINT processing software components, ensuring data flow from raw IQ ingestion through geolocation product generation.
  • Identify and debug issues within ELINT signal-processing pipelines, including algorithm anomalies, data-quality problems, and system-integration defects.
  • Conduct root cause analysis of geolocation accuracy issues, performance degradation, and processing failures.
  • Provide expert guidance on ELINT signal-processing algorithms, geolocation methodologies, and emitter-characterization techniques.
  • Interface with stakeholders as a senior technical expert, translating operational needs into system requirements and technical solutions.
  • Support CI/CD initiatives by defining test strategies, acceptance criteria, and quality gates.
  • Contribute to proposals, technical documentation, and strategic planning efforts.

Desired Qualifications

  • An advanced degree (Master's or PhD) in Electrical Engineering, Computer Science, Signal Processing, or a related field.
  • Direct experience with HawkEye 360 or similar space-based RF collection systems.
  • Experience with test-automation frameworks, scripting languages such as Python, MATLAB, or R, and CI/CD tools such as Jenkins or GitLab CI.
  • Background in software development, systems engineering, or DevOps practices.
  • Understanding of software-quality metrics, test-coverage analysis, and quality-assurance best practices.

About the Company

HawkEye 360

Satellite-based RF geospatial analytics provider

HawkEye 360 operates a commercial satellite constellation that collects radio frequency signals to generate geospatial intelligence. It detects RF emissions from sources such as ships and communication devices, geolocates them, and then turns the data into actionable insights delivered through data subscriptions, analytics reports, and integrated surveillance solutions. The company differentiates itself by specializing in RF-derived geospatial data as a commercial service, serving government, defense, and commercial clients in maritime, telecom, and crisis-response sectors. Its goal is to provide reliable, scalable RF intelligence that helps customers monitor, map, and respond to activities worldwide through accessible data and analytic tools.

Company size
201-500
Company stage
IPO
Headquarters
Herndon, VA
Founded
2015

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