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
Solid 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 chance at a high-conviction deep-tech startup
Real hardware, real field tests, real impact
Build sovereign defence technology from the ground up in India

📌 Rf Digital Signal Processing Engineer Bengaluru
🏢 Important Company of the Sector
📍 Bengaluru