Principal RF Engineer

Job summary

<p><strong><u>Principal RF Engineer</u></strong></p> <p>You will own the mathematical and physical foundations of one of the few operational commercial space-based RF geolocation systems in active customer use today.

Benefits

Qualifications

• evolve.</p>
• p>This is a hands-on, iterative role operating on real-world data with all its imperfections.
• Calibration is incomplete.
• Truth data is sparse.
• Operational constraints require pragmatic engineering tradeoffs.
• You will spend significant time examining real geolocation outputs, diagnosing performance issues, refining algorithms based on what the data shows, and shipping incremental improvements.
• The work cycle is not "design an algorithm and hand it off." It is: analyze outputs, identify the limiting error source, develop or refine an algorithmic solution, validate it against data, and repeat.
• You will work alongside software engineers who handle production implementation and infrastructure; your role is to ensure the algorithms are correct, well-understood, and continuously improving.</p>
• p>You will write code daily.
• Python is the primary tool for prototyping, simulation, data analysis, and algorithm validation.
• This is not a pure research position; the expectation is that you are building, testing, and iterating on working code, not producing papers.</p>
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Responsibilities

• p>You will own the mathematical and physical foundations of one of the few operational commercial space-based RF geolocation systems in active customer use today.
• You will formulate estimation problems, develop and validate algorithms, characterize error sources, and drive performance improvements across all three measurement domains.</p>
• p>You will inherit a working production geolocation system.
• Over time you will also extend the system with new measurement types and capabilities as mission
• u></strong></p>
• li>Own and continuously improve TDOA, FDOA, and AoA geolocation algorithms from mathematical first principles through to working prototype implementations.</li>
• li>Develop deep understanding of the existing production geolocation codebase.
• Identify design assumptions, performance bottlenecks, and areas where the underlying math can be strengthened.</li>
• li>Reason across the full sensing chain: from collection geometry and onboard constraints through estimation algorithms to operational product performance.
• Own the end-to-end understanding of how system-level decisions affect geolocation accuracy.</li>
• li>Develop and improve calibration approaches for timing, frequency, antenna, and geometry alignment across a multi-use distributed satellite constellation.</li>
• li>Analyze geolocation outputs against ground truth and known emitter positions to identify systematic errors, performance regressions, and improvement opportunities.</li>

Skills

Degrees

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Industry

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