We're Hiring: RF Digital Signal Processing Engineer
Full-Time | Core Team
LAT Aerospace | Defence
LAT Aerospace is developing next-generation aerospace systems from first principles. This includes a hybrid electric aircraft that takes off and lands within a space of a parking lot, Defence systems built from ground up and scalable Gas Turbine Engines.
Under the Defence program – 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.
Why LAT?
No hierarchy beyond strength of ideas.
Rapid hardware iteration culture.
Opportunity to build next-generation aerospace technology from the ground up.
Skills Required
- Hands-on radar signal processing with real sensor data (not simulation only)
- 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 techniques: CFAR, Pd/Pfa, MTI/clutter suppression; array processing and beamforming
- Target tracking fundamentals: Kalman filtering, data association, track management
- Strong MATLAB and Python for algorithm development
- C/C++ for real-time implementation and delivery to FPGA/SoC/DSP/GPU targets
- Experience planning and executing field data collection and iterating with ground truth
- Eager to learn and adapt to new technical challenges
- Pulsed radar processing, micro-Doppler and ML-based classification
- Counter-UAS, EW, seeker, or surveillance radar experience
- Adaptive processing (STAP, adaptive beamforming)
- RFSoC/Zynq hardware experience; CUDA/GPU acceleration; VHDL/Verilog literacy
- Experience in the Indian defence ecosystem (DRDO, defence PSUs, or defence startups)
What We Do
Imagine a world where flying is as easy as taking a bus. A world where air travel isn't just for the major cities, but for everyone, everywhere. No more congested hubs, no more wasted hours in security lines—just seamless, affordable, on-demand flights connecting thousands of destinations that the world has ignored for too long. We are building the future of mass aviation: a network of high-frequency, low-cost, 8 seater, STOL (short take-off and landing), medium-haul aircraft that make every city, every town, and every community accessible—without compromise. Powered by next-generation aircraft, designed ground-up for efficiency, built for affordability, and future-proofed for autonomy, we are aiming to rewrite the rules of flight. Our aircraft will take off and land in compact "air-stops" no bigger than a parking lot—no baggage belts, no security bottlenecks—eliminating the need for complex, expensive airport infrastructure that regional air travel simply doesn't require. No more waiting. No more detours. No more being forced to drive when you should be able to fly. This isn't the impractical supersonic future of aviation as you are made to believe. This is the real future of aviation that our communities need. --------- We are hiring We’re building a next-gen aerospace company — from scratch. Our Aircraft team is leading the development of our 8-seater hybrid-electric aircraft, spanning design, prototyping, systems integration, testing, and everything in between. Our GTE team is focused on building a world-class gas turbine engine. We're especially looking for folks with experience in turbines, rotors, control systems, or anything close. If you want to build something ambitious and enduring, write to us: [email protected] (for Aircraft) [email protected] (for GTE)
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