We're Hiring: RF Digital Signal Processing Engineer
Full-Time | Core Team
LAT Aerospace | Defence
We're building next-generation RF sensing - persistent, all-weather detection and tracking, fielded in months, not years. The challenge belongs to signal processing: pulling small, slow targets out of clutter, in real time, on deployable hardware. You'll own the chain from digitized samples to confirmed tracks, prototyping on SDRs so an idea goes from model to over-the-air in days. Because our architecture is software-defined, every improvement you make ships as capability.
What you'll do
- Own the radar signal processing chain end to end: dechirp, Range-Doppler, detection, angle estimation, track formation
- Take algorithms from SDR prototype to real-time implementation with the FPGA/embedded team
- Design detection pipelines for small, low-RCS targets - CFAR, clutter suppression, false-alarm management
- Develop beamforming, angle estimation, and channel calibration for multi-channel receive arrays
- Build target classification (micro-Doppler, drone/bird/clutter) and multi-target tracking
- Plan and execute field data collection; iterate against real-world clutter and ground truth
What we're looking for
- Hands-on radar signal processing - your algorithms must have run against real sensor data, not simulation alone
- Proven SDR experience (USRP/Ettus, RFSoC, BladeRF, PlutoSDR-class), model to over-the-air demo
- Strong FMCW processing: dechirp/stretch, Range-Doppler, waveform parameter design
- Detection and clutter: CFAR, Pd/Pfa, MTI/clutter suppression; array processing and beamforming
- Target tracking fundamentals: Kalman filtering, data association, track management
- Strong MATLAB/Python for algorithms; C/C++ for real-time; delivery to FPGA/SoC/DSP/GPU targets
- Eager to learn - treats "I haven't done this before" as a starting point, not a boundary
Bonus Skills
- Pulsed radar processing; micro-Doppler and ML-based classification
- Counter-UAS, EW, seeker, or surveillance radar experience
- Adaptive processing (STAP, adaptive beamforming); RFSoC/Zynq, CUDA/GPU; VHDL/Verilog literacy
- Experience in the Indian defence ecosystem (DRDO, defence PSUs, or defence startups)
Why LAT?
- Core team opportunity at a high-conviction deep-tech startup
- Real hardware, real field tests, real impact
- Build sovereign defence technology from the ground up in India