Software Engineer - Radar

At MatrixSpace, we are building technology that bridges the physical and digital worlds — combining embedded systems, radar sensing, cloud computing, and AI to unlock powerful real‑world intelligence. We are seeking a Software Engineer to analyze real‑world radar data, prototype new algorithms, and translate insights into robust production software for next‑generation sensing systems. In this role, you will use experimental data to understand how the system behaves in the real world, design experiments to measure and explain that behavior, and translate insights into improvements to signal processing and state estimation algorithms. Key Responsibilities: Use real radar data to characterize system performance and translate insights into the tuning, selection, and development of algorithms. Develop and maintain C++ software for radar system components including signal processing, detection, tracking, and control. Prototype and evaluate new algorithms or approaches using data‑driven analysis (Python and/or MATLAB), then transition successful ideas into production C++ code. Mature and maintain our data pipeline and design visualization tools. Support integration and testing of radar software in lab and field environments. Required Skills and Experience This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future. Bachelor’s or Master’s degree in computer science, electrical engineering, robotics, or a related engineering field. Ability to design experiments, define meaningful metrics, and use data to draw clear conclusions. Experience using Python for data analysis, prototyping, or visualization. Experience working with real‑time data and familiarity with state estimation or related algorithmic approaches. An understanding of good object‑oriented software design practices. Ability to clearly communicate technical ideas and results, both verbally and in writing. Occasional travel ( Preferred Skills 2+ years of experience with digital signal processing and sampled, noisy signals. Understanding of radar and other RF technology. Experience working with point cloud sensor data. Hands‑on experience tuning Kalman filters or modern control systems. Experience with robotics middleware (ROS/ROS2). Why Join Us Join a team that thrives on innovation and collaboration. Work on cutting‑edge technology bridging embedded systems, cloud computing, and AI applications. Collaborate with world‑class engineers solving complex distributed systems challenges. High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives. Competitive compensation, equity options, and a culture that values innovation and technical excellence. Compensation range: $115,000 - $140,000. Actual position within the range will be determined based on experience level of the candidate. #J-18808-Ljbffr