Own the end-to-end production signal chain for RF detection, classification, tracking, and geolocation algorithms—taking lab prototypes to real-time fielded systems on embedded hardware (Jetson, FPGA, SDR) in contested RF environments.
What you'll do
- Production-ize detection, classification, tracking, and direction-finding algorithms for target hardware (NVIDIA Jetson, FPGA, SDR) within fixed compute, memory, latency, and power budgets
- Build regression and characterization test suites that validate signal-chain performance against real and synthetic RF data
- Account for RF hardware behavior and inconsistencies in algorithm design; make systems robust against interference, multipath, dense emitters, dropouts, and calibration drift
- Execute fixed-point conversion, quantization, profiling, and optimization to achieve real-time performance on embedded targets
- Define and track performance metrics (Pd/Pfa, sensitivity, DF accuracy, latency) as product acceptance criteria
- Support field test campaigns, reproduce field issues in the lab, and own root-cause analysis through resolution
Mission
This is a defense/intel contracting role supporting RF sensing and geolocation missions. The program requires robust, deterministic signal processing that handles real-world RF complexities (interference, multipath, hardware drift) while meeting strict latency, power, and thermal budgets on embedded platforms.
Required skills
- RF signal processing (detection, estimation, transmit/receive chains)
- DSP algorithm implementation and optimization
- MATLAB or Python for analysis
- C/C++ production code development
- Embedded systems and real-time constraints
- Hardware profiling and optimization
- RF hardware effects and coherent/non-coherent systems
- Fixed-point quantization and embedded DSP
- Test suite development and validation
- NVIDIA Jetson, FPGA, or SDR platforms