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.

Key Responsibilities:

• Use real radar data to characterize system performance and translate insights into algorithm improvements.
• 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.
• Further mature 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 engineering.
• Ability to design experiments, define meaningful metrics, and use data to draw clear conclusions.

• Experience using Python for data analysis, prototyping, or visualization.Solid foundation in digital signal processing and working with sampled, noisy signals.

• Understanding of state estimation concepts and techniques (e.g., filtering, tracking, or related methods).

• An understanding of good object-oriented software design practices.

• Bonus points for an understanding of radar and other RF technology.

• Ability to clearly communicate technical ideas and results, both verbally and in writing

• Willing to travel, up to 10%.

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.