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HawkEye 360 · 2 months ago

Senior Signal Processing Engineer

Herndon, VA

Full-time

Hybrid

Senior Level

$130K/yr - $175K/yr

5+ years exp

HawkEye 360 is a pioneering commercial space company that operates a satellite constellation to detect and analyze RF signals. They are seeking a Senior Signal Processing Engineer to enhance their RF signal detection and geolocation algorithms, develop high-performance software, and collaborate across various teams to deploy production-level processing solutions.

AerospaceAnalyticsArtificial Intelligence (AI)NavigationSatellite CommunicationWireless

Responsibilities

Work with a small sub-team to advance our RF signal detection, extraction and geolocation algorithms for execution, particularly for radar

Understand and improve the full geolocation stack (RF collection, T/FDOA measurement generation, geolocation, and more) to help drive new research and innovations in geolocation output

Develop high-performance, low-latency signal processing software in Python and C++

Collaborate across signal processing, data engineering, data science, space and product teams to develop and deploy production level processing and geolocation pipelines

Qualification

Digital Signal ProcessingPythonC++RF PhysicsRadar SystemsGeolocation AlgorithmsDockerKubernetesCommunication SkillsTeam Collaboration

Required

B.S. or higher in Electrical Engineering, Computer Engineering, Applied Physics, or related discipline

5+ years of experience in digital signal processing for RF applications

Proficiency in Python and C++, including performance optimization and algorithmic development

Strong understanding of RF physics, radar systems, and signal measurement methods (e.g. TDOA/FDOA, AoA)

Excellent communication skills and a collaborative, team-first mindset

Preferred

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or comparable

Hands-on experience building RF-based applications including communication and/or measurement systems (such as time-of-arrival and frequency-of-arrival)

Deep knowledge of radar signal processing and deinterleaving techniques

Comfortable deploying software into a Docker and/or Kubernetes environment