Digital Signal Processing Engineer

Skynetics; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Skynetics, Bengaluru, India, is seeking a Digital Signal Processing Engineer with 3–8 years of experience for Defence & Aerospace applications. You will transform mathematical concepts into MATLAB/Python models and real-time FPGA/DSP implementations for communication, RF, ELINT/SIGINT and SDR systems.

You will collaborate with RF, FPGA and embedded teams to optimize throughput, latency and FPGA resource usage, translating algorithms into Verilog/VHDL and fixed-point hardware implementations.

Qualifications

• Strong fundamentals in DSP and Digital Communications.
• Good understanding of sampling theory, Fourier transforms, filtering, correlation and spectral analysis.
• Hands-on experience with MATLAB and/or Python for algorithm development and simulation.
• Experience developing DSP algorithms from concept to simulation and hardware implementation.
• Familiarity with RF signal chains and Software Defined Radio architectures.
• Experience with complex I/Q signals and IQ data processing.

Responsibilities

• Design, develop and implement DSP algorithms for digital communication, RF, ELINT, SIGINT and SDR systems.
• Develop and analyse modulation and demodulation algorithms for digital communication systems.
• Work with modulation schemes such as BPSK, QPSK, OQPSK, FSK, MSK, GMSK, QAM, DVB-S2, CPM.
• Develop algorithms for Carrier and symbol synchronization, Timing recovery, Frequency and phase estimation, Matched filtering, Channel estimation and equalization, Detection and classification, Spectrum analysis.
• Develop DSP techniques for ELINT/SIGINT, including signal detection, characterization, parameter extraction and classification.
• Develop communication receivers and transmitters for SDR platforms.
• Model and simulate algorithms using MATLAB/Simulink and Python.
• Convert floating-point algorithms into fixed-point, bit-accurate implementations suitable for real-time hardware.
• Implement DSP algorithms on FPGA, DSP processors and embedded processors.
• Work with FPGA engineers to translate algorithms into Verilog/VHDL or FPGA-friendly architectures.
• Perform algorithm optimization for throughput, latency, memory utilization and FPGA resource utilization.
• Validate algorithms using simulation, recorded RF/IQ data and hardware measurements.
• Interface DSP algorithms with RF front ends, ADCs/DACs, SDRs and high-speed data converters.
• Participate in system-level debugging using spectrum analysers, oscilloscopes, logic analysers, vector signal analysers and RF test equipment.
• Analyse and implement algorithms based on IEEE papers, communication standards, technical publications and system specifications.
• Work with cross-functional RF, FPGA, embedded and systems teams to integrate DSP algorithms into complete products.

Skills

DSP fundamentals

Digital communications

IQ data processing

Python/C/C++ programming

MATLAB/Simulink

Algorithm development from concept to硬

RF signal chains knowledge

Education

B.Tech/B.E./Diploma in Electronics/Telecommunication, Electrical and Electronics, Aviation, Information Technology, Computers, Electrical

Tools

Verilog/VHDL for FPGA

RTL / HLS

Xilinx/AMD, Intel/Altera FPGA platforms

Job description

Role: Digital Signal Processing Engineer

Industry Type: Defence & Aerospace

Employment Type: Full Time, Permanent

Role Category: Software Development

Education: UG: B.Tech/B.E./Diploma in Electronics/Telecommunication, Electrical and Electronics, Aviation, Information Technology, Computers, Electrical

Experience: 3 - 8 years

Position openings: 1

Domain: Defence | Aerospace | Satellites | Software Defined Radio | RF | Communications | ELINT/SIGINT

We are looking for a Digital Signal Processing Engineer to develop advanced signal-processing algorithms and real-time DSP systems for communication, RF, electronic intelligence (ELINT), signals intelligence (SIGINT), and software-defined radio (SDR) applications.

The role involves taking algorithms from mathematical concepts and system requirements through MATLAB/Python modelling, simulation and validation, and finally to real-time implementation on FPGA, DSP and embedded platforms.

You will work closely with RF, FPGA, embedded software and systems engineers to develop high-performance signal-processing solutions for next-generation defence and aerospace systems.

Responsibilities

• Design, develop and implement DSP algorithms for digital communication, RF, ELINT, SIGINT and SDR systems.
• Develop and analyse modulation and demodulation algorithms for digital communication systems.
• Work with modulation schemes such as BPSK, QPSK, OQPSK, FSK, MSK, GMSK, QAM, DVB-S2, CPM and other communication waveforms.
• Develop algorithms for Carrier and symbol synchronization, Timing recovery, Frequency and phase estimation, Matched filtering, Channel estimation and equalization, Detection and classification, Spectrum analysis, etc.
• Develop DSP techniques for ELINT/SIGINT, including signal detection, characterization, parameter extraction and classification.
• Develop communication receivers and transmitters for SDR platforms.
• Model and simulate algorithms using MATLAB/Simulink and Python.
• Convert floating-point algorithms into fixed-point, bit-accurate implementations suitable for real-time hardware.
• Implement DSP algorithms on FPGA, DSP processors and embedded processors.
• Work with FPGA engineers to translate algorithms into Verilog/VHDL or FPGA-friendly architectures.
• Perform algorithm optimization for throughput, latency, memory utilization and FPGA resource utilization.
• Validate algorithms using simulation, recorded RF/IQ data and hardware measurements.
• Interface DSP algorithms with RF front ends, ADCs/DACs, SDRs and high-speed data converters.
• Participate in system-level debugging using spectrum analysers, oscilloscopes, logic analysers, vector signal analysers and RF test equipment.
• Analyse and implement algorithms based on IEEE papers, communication standards, technical publications and system specifications.
• Work with cross-functional RF, FPGA, embedded and systems teams to integrate DSP algorithms into complete products.

Required Skills

• Strong fundamentals in Digital Signal Processing and Digital Communications.
• Strong understanding of sampling theory, Fourier transforms, filtering, correlation, convolution and spectral analysis.
• Good understanding of digital modulation and demodulation techniques.
• Hands-on experience with MATLAB and/or Python for algorithm development and simulation.
• Experience developing DSP algorithms from concept to simulation and hardware implementation.
• Good understanding of RF signal chains and Software Defined Radio architectures.
• Experience working with complex I/Q signals and IQ data processing.
• Strong analytical and mathematical problem-solving skills.
• Programming experience in Python, C or C++.
• Ability to understand and implement algorithms from technical papers and specifications.

Preferred Skills

The following experience will be highly preferred:

• Hands-on experience with FPGA-based DSP development.
• Experience with Xilinx/AMD, Intel/Altera or equivalent FPGA platforms.
• Experience with SDR platforms and RF data converters.
• Experience working with RF transceivers, ADCs, DACs and FPGA-based RF signal-processing systems.
• Experience with Xilinx RFSoC or similar heterogeneous RF processing platforms.
• MATLAB / Simulink / Python / NumPy / SciPy
• Experience with fixed-point and bit-accurate DSP modelling.
• Experience implementing DSP algorithms in FPGA using RTL or HLS.
• Experience with hardware-in-the-loop testing and validation.
• Experience with RF test equipment and IQ data capture/analysis.
• Experience developing communication receivers/transmitters or modems.
• Experience in ELINT, SIGINT, COMINT, EW or RF intelligence systems.
• Experience with radar signal processing is an advantage.
• Knowledge of FEC/channel coding, including LDPC, Turbo, Reed-Solomon or convolutional coding.
• Knowledge of OFDM, spread spectrum, DSSS/FHSS or anti-jamming techniques is an advantage.
• Experience with signal detection, classification, direction finding, DOA/AOA or spectrum monitoring is an advantage.