Radar System Modeling Engineer

Job description

Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. Join us to design and deploy next-generation, satellite-based radar that delivers persistent, all-weather, day-night sensing at global scale. You’ll build end-to-end capabilities—from waveform design, on-board processing, classification and calibration—for systems on LEO platforms. Working across RF hardware, phased arrays, and advanced DSP, you’ll turn raw echoes into decision-ready products. If you thrive at the intersection of electromagnetics, signal processing, and systems engineering—and want your code and designs to fly—this role is for you. ### What you’ll be doing: - **Modeling and Simulation** - Develop and implement mathematical models of radar signal processing chains for phased arrays - Simulate radar waveform generation, echo processing, clutter mitigation, and target detection under diverse environmental and operational scenarios. - Analyze the impact of signal distortion, noise, multipath, and Doppler effects, proposing advanced mitigation strategies. - **Algorithm Design and Development** - Use MATLAB to simulate advanced algorithms for radar waveforms, pulse compression, Doppler processing, clutter suppression, and target classification. - Use simulations to inform hardware design decisions - Collaborate with hardware and software teams to ensure seamless integration of signal processing modules into radar payloads. - **Performance Analysis** - Perform comprehensive analysis of radar performance: detection range, resolution, probability of detection vs. false alarm, tracking accuracy. - Identify performance bottlenecks and ensure compliance with system specifications and mission objectives. - **Documentation and Reporting** - Document design procedures, simulation outcomes, test results, and performance metrics. - Prepare technical reports, presentations, and visualizations for internal stakeholders and external partners. - **Innovation & Collaboration** - Stay abreast of the latest radar and sensor signal processing advancements; integrate novel techniques into design processes. - Work cross-functionally with systems architects, hardware engineers, software developers, and test teams during integration and field trials. - Participate in design and code reviews; offer constructive feedback. ### What you bring to this role: - 5+ years of experience in radar simulation or a closely related field. - Strong foundation in digital signal processing, radar theory (e.g., range-Doppler, pulse compression), and target detection methodologies. - Proficiency in modeling and simulation tools such as MATLAB, Simulink, or equivalent environments. - Experience with radar systems design, performance analysis, and field testing. - Excellent analytical and communication skills—strong team collaborator who can also work independently. ### Bonus points for the following: - Experience with advanced target detection/classification techniques, e.g., CFAR, STAP, machine-learning-based classifiers. - Familiarity with phased-array radar architectures, synthetic aperture radar (SAR), moving target indication (MTI), or related subsystems. - Hands-on experience with software-defined radar platforms. - Proficiency in programming (C/C++, Python, VHDL/Verilog, or FPGA-focused languages). - Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or related disciplines. ### Additional Requirements This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.