Author validation plans and correlate simulation outputs with HIL, bench, and field test results.
Maintain modular, version-controlled simulation repositories with expanding model coverage and fidelity.
Develop and apply detection, estimation, filtering, spectral analysis, and statistical characterization algorithms.
Model signal chains end to end, including noise, interference, and environmental effects.
Define and evaluate processing performance metrics and translate findings for hardware and embedded software teams.
Validate models against measured data and close fidelity gaps through iterative refinement.
Serve as principal investigator and technical lead, aligning algorithm, embedded software, hardware, and systems teams.
Lead technical reviews including PDR and CDR, deliver simulation products, and provide peer review.
Identify capability gaps and drive roadmap improvements.
Mentor junior engineers in simulation methodology, signal processing, and analysis practices.
Interface with customers on methodology, assumptions, uncertainty quantification, and performance predictions.
Translate complex results into concise findings and technical reports for leadership and customers.
Support proposals by defining simulation scope, articulating discriminators, and contributing to SOW and BOE.
Experience Requirements
B.S. in Electrical Engineering, Physics, Computer Engineering, or a related field. Advanced degree preferred.
10+ years in modeling and simulation of sensing or signal processing systems with ownership of simulation frameworks.
Proficiency with MATLAB/Simulink and Python ecosystems such as NumPy, SciPy, and PyTorch.
Experience structuring large, maintainable simulation codebases.
Prior experience as a principal investigator or technical lead on a U.S. government or defense program with direct customer interaction.
Ability to obtain and maintain a Top Secret/SCI security clearance.
Willingness to travel up to 10%.
Ability to work on-site in Carlsbad, CA preferred or Tempe, CA.
Helpful: experience with RF, EO/IR, acoustic, or lidar sensors and phenomenological modeling; AFSIM; embedded or real-time DSP on FPGA or embedded CPUs; HIL integrated with bench or field test; MBSE and system performance budgeting; track record of publications or patents.
Education Requirements
B.S. in Electrical Engineering, Physics, Computer Engineering, or a related field. Advanced degree preferred.
Active Secret Clearance or higher.
