Identify and debug complex 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 senior technical expert, translating operational needs into system requirements and technical solutions
Support continuous integration/continuous deployment (CI/CD) initiatives by defining test strategies, acceptance criteria, and quality gates
Contribute to proposals, technical documentation, and strategic planning efforts
Your skills and qualifications
Essential education and experience:
Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Physics, or related technical field or equivalent experience; Advanced degree strongly preferred
12+ years of progressive experience in ELINT technical analysis with demonstrated expertise in complex signal processing environments
Expert-level proficiency with ELINT ground processing systems that generate geolocations from raw IQ data or similar RF collection systems
Proven expertise with signals analysis tool suites such as Sceptre, MARTES, ASPEN or CBET
Strong software integration and test experience, including hands-on work with complex data processing pipelines
Demonstrated ability to identify, debug, and resolve technical issues in signal processing software and geolocation algorithms
Strong understanding of CI/CD practices and experience integrating testing into continuous deployment pipelines
Advanced analytical and problem-solving skills with ability to troubleshoot complex technical issues across hardware and software domains
Excellent written and verbal communication skills with ability to present complex technical concepts to diverse audiences
Completion of SIGE2810/3810/4810 and advanced SIGINT training courses
Desirable
Advanced degree (Masters or PhD) in Electrical Engineering, Computer Science, Signal Processing, or related field
Direct experience with HawkEye 360 or similar space-based RF collection systems
Experience with test automation frameworks, scripting languages (Python, MATLAB, R), and CI/CD tools (Jenkins, GitLab CI)
Background in software development, systems engineering, or DevOps practices
Understanding of software quality metrics, test coverage analysis, and quality assurance best practices
We offer a compensation package that includes a competitive base salary plus annual performance bonus, benefits and equity. We consider many factors when determining salary offers, such as candidate's work experience, education, training & skills, as well as market and business considerations. We are also open to considering candidates with experience and qualifications at a different level than required in a job posting, which may affect the compensation package offered.
Salary Range
$170,000—$220,000 USD
Company Overview
HawkEye 360 is equipping defense, intelligence, and national security leaders with mission-critical signals intelligence to enable faster, better decision making. By detecting, geolocating, and characterizing radio frequency emissions worldwide, HawkEye 360 delivers trusted domain awareness and early warning indicators to the US Government and allied partners. Our space-based collection, proprietary signal processing, and AI-powered analytics transform knowledge of RF spectrum into a strategic advantage. Proven by operational mission success, HawkEye 360 is redefining how signals intelligence strengthens national and global security.
HawkEye 360 is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, marital status, national origin, age, veteran status, disability, or any other protected class.
