1. Participate in all phases of the software development lifecycle, and code generation while also developing algorithms, apps, visualizations, and metrics for radar systems
2. Concentrate on developing radar signal processing, modeling as well as imaging algorithms to enhance detection and identification in challenging scenarios
3. Ensure a robust algorithm performance in various conditions (natural, clutter, dense, etc.)
4. Work on radar processing & beam-forming of radar systems
5. Work on radar systems design and analysis, performance enhancement, and autonomous systems
6. Work on signal processing algorithms for radars, beam-forming, data simulation, and processing
Skill(s) required
Analog And Digital CircuitsC++ ProgrammingC ProgrammingDigital Signal ProcessingMATLABPython
Prakshep Private Limited is a tech infrastructure company for agribusinesses. From large enterprises to startups, businesses of all sizes use Prakshep Private Limited deep learning APIs to monitor farms, machines, and people. We utilize a network of satellites, sensors, drones, people, vehicles, IoT, etc. to provide the most accurate and comprehensive data at scale in real-time and take data-driven actions. We are aiming to automate the agriculture process, and since our inception, we have been working closely with farmers to build a series of neural networks to automate tedious activities like farm surveying geofencing, route planning, zoning, acre base billing, etc.
