Senior Software Engineer

Darwin Recruitment
Fairfax, VA

Job Description:

Senior Software Engineer – Scientific Data SystemsRemote (US) or Hybrid | Full-Time | Defense & Intelligence Sector A company working at the intersection of satellites, RF detection, and data analytics is hiring a Senior Software Engineer to join their algorithms group. This team owns the pipeline that pushes massive volumes of radio frequency data through DSP and geolocation algorithms, then turns that into a product for government and commercial customers. This isn’t a research role. It’s a production software role where code needs to be clean, memory-efficient, tested, and reliable. The algorithms already exist. Your job is to build the plumbing that connects them together, handles large volumes of incoming data, and delivers the output in a repeatable, scalable way. This sits in the DSP org, working directly with signal processing, ML, and data engineers. They’re looking for someone who’s built real production systems in Python and C++, has a strong grasp of computational complexity, and is comfortable navigating large-scale scientific or time-series data. You’d be doing things like Building and maintaining performant code in Python and C++Creating reusable components that support DSP and geolocation algorithmsHandling large datasets and deploying software into a containerized, cloud-based environmentSupporting CI/CD pipelines and writing automated testsCollaborating across teams to keep software stable, scalable, and reliable You’ll need 5+ years of experience writing production software in Python and C++Familiarity with cloud environments (AWS preferred) and containerized deployments (Docker, Kubernetes)Comfort working in Linux-based environmentsExperience with standard Python libraries like NumPy, pandas, and SciPySolid understanding of software performance, memory, and data complexityExperience with Git-based CI/CD (GitLab preferred) Nice to have Background in signal processing or having worked around RF datasetsExperience with orchestration tools like Airflow or DagsterFamiliarity with pybind11, or building C++/Python integrationsExposure to data quality systems and validation toolsExperience deploying data or ML-based products to customers The ideal fitYou’ve built and shipped software that handles complex data at scale. Maybe you worked at a company delivering data feeds or running data platforms as a product. You understand how to move large datasets around, and why code structure and computational cost matters when things get big. You’re not afraid to own a chunk of code and keep it running. Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Posted 2026-01-08

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