Job description

We work in small teams to rapidly prototype and productize new ideas based on hands-on, in-the-weeds engineering. You'll be responsible for designing and implementing algorithms for the Processing Algorithms team to generate geolocation output from raw RF data collected in low-earth-orbit. You’ll be expected to become intimately familiar with algorithm details and the company's problem set, allowing you to build new DSP and geolocation applications across the spectrum of RF signals between 100 MHz and 15 GHz. We support a broad range of software to accomplish our mission, especially favoring python for research, and using a mix of python and C++ for both batch processing within cloud deployments and real-time embedded platforms.

Location: This position is located in our Herndon, VA with hybrid/work from home flexibility.

Base Salary Range: $130,000 - $180,000 annually

As the Senior Digital Signal Processing Engineer, your main responsibilities will be:

Provide experienced leadership for the research, design and implementation of DSP and geolocation algorithms targeting a variety of RF signals of interest
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
Build proof-of-concept solutions for RF processing and geolocation; document and gather support for new ideas; and rapidly transition technology into a production environment
Contribute to code performance measurement, optimization and re-implementation
Support and improve existing python and C++ software for RF processing and geolocation
Guide and mentor other individual contributors

Requirements

B.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience
5+ years of professional experience
3+ years of experience in geolocation and/or RF digital signal processing using python and C++
Experience building geolocation systems (TDOA/FDOA, angle of arrival, etc) with a strong understanding of the physics of state estimation
Strong understanding of RF physics and communications theory
Experience building mission-critical software applications around geolocation and/or RF processing
Solid written and oral communication

Desirable:

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)
Comfortable deploying software into a Docker and/or Kubernetes environment
Experience working with large python and/or C++ projects in a team environment: git-based workflow, unit and integration testing, pull request reviews

Benefits

Our client offers a compensation package that includes a competitive base salary plus annual performance bonus and benefits. We consider many factors when determining salary offers, such as candidate's work experience, education, training & skills, as well as market and business considerations. They 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.

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