Senior Signal Processing Engineer
Current Job Openings >> Senior Signal Processing Engineer
Senior Signal Processing Engineer
Summary
Title: Senior Signal Processing Engineer
ID: DAT-25-10-ISR
Team: Data & Analytics
More about this job >
Description
HawkEye 360 is a first-of-its-kind commercial space company operating a satellite constellation to detect, characterize, and geolocate RF signals. We deliver powerful geospatial analytics to solve pressing challenges in national security, spectrum monitoring, and maritime domain awareness.
Our Processing Team builds advanced DSP and geolocation solutions across embedded platforms and cloud infrastructure. We're looking for a Senior Signal Processing Engineer to develop signal detection, deinterleaving and geolocation of pulsed radar systems.
As the Senior Signal Processing Engineer, your main responsibilities will be:- 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.
Essential education and experience:
- 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.
- 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
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