05 Oct
|
Crimson Energy Experts
|
New Delhi
05 Oct
Crimson Energy Experts
New Delhi
Experience: 1–5 years
Employment Type: Full time
Domain: RF Data Analytics · Radar Signal Processing · Electronic Warfare
About the Role
Crimson Energy Experts is looking for Electronics & Communication Engineers with hands-on experience in RF systems, radar signal processing, communications, DSP or electronic warfare.
You will work on large-scale RF datasets and signal-processing systems, developing software and analytical pipelines that transform raw I/Q data into meaningful RF and emitter-level intelligence.
What You'll Do
• Develop Python and MATLAB-based signal-processing workflows for RF and I/Q datasets.
• Process, filter and analyse high-volume RF data and associated metadata.
• Develop DSP modules for demodulation, resampling, feature extraction and signal analysis.
• Implement algorithms for noise reduction, interference detection and signal characterisation.
• Build ETL pipelines for ingestion of large RF datasets into SQL/NoSQL data platforms.
• Develop time-frequency visualisations, geospatial analysis and analytical dashboards.
• Work with RF engineers to validate signal-processing algorithms against real-world datasets.
• Support RF data acquisition, dataset cataloguing, quality checks and metadata management.
• Develop and maintain Linux-based processing environments and GPU-enabled workloads.
• Document algorithms, experiments, datasets and analytical results.
Required Qualifications
• B.Tech / B.E. / M.Tech / M.E. / M.Sc. in Electronics & Communication Engineering, Electrical Engineering, Telecommunications, Signal Processing, Radar Technology, Defence Electronics or a related field.
• 1–5 years of hands-on experience in electronics, communications, DSP, RF systems or signal processing.
• Strong understanding of digital signal processing and communication fundamentals.
• Knowledge of RF systems, radar concepts, communication waveforms or electronic support systems.
• Strong programming skills in Python and/or MATLAB.
• Experience with NumPy, Sci
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