HawkEye 360 · 4 hours ago
Senior RF Machine Learning Engineer
Herndon, VA
Full-time
Onsite
Mid, Senior Level
$140K/yr - $170K/yr
2+ years expHawkEye 360 is delivering a revolutionary source of global knowledge based on radio frequency (RF) geospatial analytics to those working to make the world a safer place. In this role, you will develop and mature RF signal processing and machine learning techniques, work end-to-end across the processing stack, and collaborate closely with partner teams to deploy robust, scalable solutions into production.
AerospaceAnalyticsArtificial Intelligence (AI)NavigationSatellite CommunicationWireless
Responsibilities
Design, implement, and improve RF signal detection, characterization, and geolocation algorithms across a wide range of signals and operational scenarios
Identify opportunities where machine learning can augment or complement traditional signal processing approaches in the current processing stack
Work with our customer solutions team to understand signal processing and analytic techniques that drive novel customer insights and product capabilities
Work with large volumes of raw RF and derived data to build scalable, reliable processing and analytics pipelines
Contribute technical leadership through design reviews and mentorship of other engineers
Qualification
Required
B.S. or higher in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, or a related technical discipline or equivalent experience
2+ years of hands-on experience applying signal processing and machine learning techniques to real-world data in a production environment
Strong foundation in signal processing concepts (e.g., signals and systems, detection theory, estimation, filtering)
Experience applying classical machine learning and statistical techniques such as clustering, classification and anomaly detection to complex datasets
Fluency in Python, common Python scientific computing libraries (e.g., NumPy, pandas, PyTorch) and experience working within modern Python-based technical stacks
Experience manipulating and analyzing large, raw datasets in support of signal processing and analytics workflows
Strong communication skills and a collaborative, team-oriented mindset
Preferred
M.S. or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Direct experience applying signal processing and/or machine learning techniques to RF data
Familiarity with modern machine learning approaches such as deep learning
Experience optimizing processing performance through parallel computing
Experience deploying software in containerized or cloud-native environments (Docker, Kubernetes)
C++ experience
Benefits
Annual performance bonus
Competitive base salary
Company
HawkEye 360
HawkEye 360 detects, geolocates, and characterizesvarious RF signals using its satellite constellation in low Earth orbit.
201-500 employees
Funding
Current Stage
Late StageTotal Funding
$562.3MKey Investors
National Reconnaissance OfficeSilicon Valley BankLockheed Martin Ventures
2025-12-18Series E· $150M
2025-12-18Debt Financing
2025-12-03Grant
Leadership Team
John Serafini
Founder & CEO
Craig Searle
Chief Financial Officer
Recent News
Washington Technology
2026-01-17
2026-01-14
2026-01-12
Company data provided by crunchbase