Lead Radio Frequency Software Engineer

Job Description

We are looking for a Lead Radio Frequency Software Engineer to contribute to real-world cyber operations. In this role, you will: - Implement, test, and maintain pipeline components, including stream ingestion, rollup processing, database writing, and batch post-processing modules. - Develop and maintain browser-based visualization and reporting tools, such as track plots, waterfall displays, and SmartBook report generation, that use pipeline database output. - Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing. - Develop lightweight TNS simulator components with emitter and receiver models that can follow track plots and emit according to a network description. - Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking. - Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment. - Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed. - Perform basic Linux system administration on remote servers, including package management, user configuration, and environment setup. - Manage source code using GitLab and follow disciplined versioning, branching, and code review practices as established by the Principal Engineer. - Produce clear technical documentation for implemented components, including interface specifications, configuration guides, and test procedures. - Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly.

Qualifications

1. 7-10 years of relevant experience 2. BS Degree — experience may be considered in place of education requirement 3. Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development 4. Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn 5. Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization 6. Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent) 7. Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE 8. Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu) 9. Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage 10. Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job 11. Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences 12. Ability to work independently on assigned components with minimal supervision in a small, distributed team