Senior Software Engineer

Senior Software Engineer - Scientific Data Systems
Remote (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 algorithms

• Handling large datasets and deploying software into a containerized, cloud-based environment

• Supporting CI/CD pipelines and writing automated tests

• Collaborating 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 environments

• Experience with standard Python libraries like NumPy, pandas, and SciPy

• Solid understanding of software performance, memory, and data complexity

• Experience with Git-based CI/CD (GitLab preferred)

Nice to have

• Background in signal processing or having worked around RF datasets

• Experience with orchestration tools like Airflow or Dagster

• Familiarity with pybind11, or building C /Python integrations

• Exposure to data quality systems and validation tools

• Experience deploying data or ML-based products to customers

The ideal fit
You'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.