RF & Signal Processing Engineer

Big Bang Boom Solutions; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Big Bang Boom Solutions is seeking an experienced RF & Signal Processing Engineer to lead DF algorithm development and optimize system performance for advanced EW systems. The role focuses on improving bearing estimation, resolution, and update rate through Phase Interferometry, TDOA, AOA, and triangulation methods.

You will prototype in Python and MATLAB, then port algorithms to C/C++ for real-time DSP/FPGA/SDR deployment, coordinating with RF and firmware teams in Chennai.

Qualifications

• Design and implement DF algorithms including Phase Interferometry, TDOA and AOA.
• Prototype in Python and MATLAB for signal analysis and visualization.
• Translate high-level methods into efficient C/C++ for embedded DSPs and accelerators.

Responsibilities

• Lead development and optimization of direction finding accuracy and system performance.
• Develop advanced DF algorithms and improve bearing estimation, resolution, and update rate.
• Perform signal detection, correlation, noise suppression, and SNR enhancement.
• Collaborate with firmware/hardware teams for DSP/FPGA/SDR deployment.
• Evaluate algorithm performance with lab and field data.

Skills

DF algorithm design

Real-time signal processing

Embedded optimization

Parallelization & SIMD

Tools

Python (NumPy, SciPy, Matplotlib)

MATLAB

C/C++

DSPs

FPGAs

SDR platforms

Job description

We are seeking an experienced RF & Signal Processing Engineer to lead development and optimization efforts in Direction Finding (DF) accuracy and system performance for advanced EW systems.

Key responsibilities:

• Design and develop advanced DF algorithms such as Phase Interferometry, Amplitude Comparison, Time Difference of Arrival (TDOA), Angle of Arrival (AOA), Triangulation and Correlation-based methods
• Implement algorithmic techniques to improve bearing estimation accuracy, resolution, and update rate.
• Perform signal detection, correlation, noise suppression, SNR enhancement, and multi-channel calibration.
• Design adaptive filtering and signal conditioning algorithms to ensure reliable DF performance under dynamic conditions.
• Evaluate algorithmic performance using lab-captured, and field-collected data.
• Identify and mitigate performance bottlenecks such as phase noise, antenna mismatch, or hardware impairments.
• Work with system integration teams to align DF algorithms with hardware constraints and operational scenarios.
• Prototype and validate DSP algorithms in Python (NumPy, SciPy, Matplotlib) and MATLAB for signal acquisition, filtering, and spectral analysis.
• Translate high-level algorithms into efficient real-time code for embedded deployment using C/C++ or optimized libraries.
• Implement parallelization, multi-threading, or vectorization (SIMD) techniques to achieve real-time performance.
• Optimize algorithms considering latency, throughput, power consumption, and memory footprint constraints.
• Collaborate with firmware and hardware teams to deploy algorithms on DSPs, FPGAs, or SDR platforms.
• Work with RF design teams to understand and model front-end characteristics such as LNA gain, filter responses, phase imbalance, and antenna coupling.
• Support calibration procedures to correct RF non-idealities affecting DF performance.
• Conduct link budget analysis, path loss modeling, and RF propagation studies for system-level optimization.
• Participate in field testing, data collection, and environmental tuning to validate algorithm performance in real-world EW conditions.
• Optimize DSP algorithms for real-time wireless communication under resource and performance constraints.